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Admission dataset kaggle

In this video, Kaggle Data Scientist Rachael shows you how to search for the perfect dataset for your project using Kaggle's dataset listing. SUBSCRIBE: http...
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Feb 10, 2017 · Web services are often protected with a challenge that's supposed to be easy for people to solve, but difficult for computers. Such a challenge is often called a CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) or HIP (Human Interactive Proof). HIPs are used for many purposes, such as to reduce email and blog spam and prevent brute-force attacks on web site pass

    Get Free College Admissions Dataset now and use College Admissions Dataset immediately to get % off or $ off or free shipping. Search. ... Live www.kaggle.com ... datasets for machine learning projects kaggle Usually, in data science, It is a mandatory condition for data scientists to understand the data set deeply. In that case, if you are a beginner and get totally unknown domain and data set for learning. The Agency for Healthcare Research and Quality's (AHRQ) mission is to produce evidence to make health care safer, higher quality, more accessible, equitable, and affordable, and to work within the U.S. Department of Health and Human Services and with other partners to make sure that the evidence is understood and used.

    Jul 25, 2019 · They can be found on Kaggle as well. There are 17 datasets on Kaggle under the CC0: Public Domain license and 425 datasets on Open Data BCN. The data are related to births, deaths, population, immigrants, name frequencies, air quality, transport, etc. Graduate Admissions dataset is another Kaggle set given under the CC0: Public Domain license. The dataset is available to researchers around the world via Google's Kaggle machine learning and data science community, the White House office announced earlier this month, and was made available from researchers and leaders from the Allen Institute for AI, Chan Zuckerberg Initiative, Georgetown University's Center for Security and Emerging Technology, Microsoft, and the National Library of ... Sep 28, 2012 · Kaggle - Classification "Those who cannot remember the past are condemned to repeat it." -- George Santayana. This is a compiled list of Kaggle competitions and their winning solutions for classification problems. The purpose to complie this list is for easier access and therefore learning from the best in data science. In this video, Kaggle Data Scientist Rachael shows you how to search for the perfect dataset for your project using Kaggle's dataset listing. SUBSCRIBE: http... Jul 26, 2019 · Bonus! Dataset Aggregators. Kaggle: As always, an excellent resource for finding datasets pertaining not only to healthcare but other areas. If your healthcare explorations expand to a different ... Jul 02, 2019 · What is a dataset? A dataset, or data set, is simply a collection of data. The simplest and most common format for datasets you’ll find online is a spreadsheet or CSV format — a single file organized as a table of rows and columns. But some datasets will be stored in other formats, and they don’t have to be just one file.

    The dataset contains 1,104 (80.6%) abnormal exams, with 319 (23.3%) ACL tears and 508 (37.1%) meniscal tears; labels were obtained through manual extraction from clinical reports. MURA: MSK Xrays MURA (musculoskeletal radiographs) is a large dataset of bone X-rays from the Stanford University Medical Center.


Data Exploration on Graduation Admission Dataset from Kaggle. This blog post is the part of Udacity Data Scientist Nanodegree. Popular Topics. This dataset is created for prediction of Graduate Admissions from an Indian perspective. Content. The dataset contains several parameters which are considered important during the application for Masters Programs. The parameters included are : GRE Scores ( out of 340 ) TOEFL Scores ( out of 120 ) University Rating ( out of 5 )

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  • Jul 05, 2019 · Now that our dataset is neat and accurate, let’s move ahead to extending the dataset with new features. Feature engineering. We can add a new feature to the dataset — ‘Waiting Time Days’ to check how long the patient needs to wait for the appointment day.

  • The dataset is available to researchers around the world via Google's Kaggle machine learning and data science community, the White House office announced earlier this month, and was made available from researchers and leaders from the Allen Institute for AI, Chan Zuckerberg Initiative, Georgetown University's Center for Security and Emerging Technology, Microsoft, and the National Library of ...

  • Sep 28, 2012 · Kaggle - Classification "Those who cannot remember the past are condemned to repeat it." -- George Santayana. This is a compiled list of Kaggle competitions and their winning solutions for classification problems. The purpose to complie this list is for easier access and therefore learning from the best in data science.

  • Healthcare data sets include a vast amount of medical data, various measurements, financial data, statistical data, demographics of specific populations, and insurance data, to name just a few, gathered from various healthcare data sources. Let’s look into how data sets are used in the healthcare industry.

  • Apr 19, 2017 · On Kaggle I found this dataset on student grades. In the analysis I look at various visualizations and also compare tree-based machine learning algorithms on predicting student grades. Despite the small dataset we are able to reach almost 82% accuracy. According to the visualizations women seem to score higher on this test than men.

  • Healthcare data sets include a vast amount of medical data, various measurements, financial data, statistical data, demographics of specific populations, and insurance data, to name just a few, gathered from various healthcare data sources. Let’s look into how data sets are used in the healthcare industry.

  • Find the college that’s the best fit for you! The U.S. Department of Education’s College Scorecard has the most reliable data on college costs, graduation, and post-college earnings.

  • This was a rather small and clean dataset which I downloaded from Kaggle. Almost all features are numeric - except for Research which is boolean. Universities, letters of recommendation and statements of purpose are all rated from 1 to 5. The target variable is Chance of Admittance which is the probability of getting admitted into graduate school.

  • Sep 16, 2019 · 2. Predicting chance of graduate admission using the Graduate Admission dataset from Kaggle. 3. How to perform Random Search to get the best parameters for random forests. Note: If you want to get a bit more familiar with the working of Random Forests, then you can visit one of my previous articles. That can help you to get started with Random ...

  • The dataset is available to researchers around the world via Google's Kaggle machine learning and data science community, the White House office announced earlier this month, and was made available from researchers and leaders from the Allen Institute for AI, Chan Zuckerberg Initiative, Georgetown University's Center for Security and Emerging Technology, Microsoft, and the National Library of ...

  • Get Free College Admissions Dataset now and use College Admissions Dataset immediately to get % off or $ off or free shipping. Search. ... Live www.kaggle.com ...

  • using Python and its various libraries on a Kaggle dataset. After implementing immense research on the dataset, explored the relationship between each factor which contribute in one or the other way to get an admit. Finally, using linear regression, allowed the program to predict the data from the user.

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  • 10 trestbps: resting blood pressure (in mm Hg on admission to the hospital) 11 htn 12 chol: serum cholestoral in mg/dl 13 smoke: I believe this is 1 = yes; 0 = no (is or is not a smoker) 14 cigs (cigarettes per day) 15 years (number of years as a smoker) 16 fbs: (fasting blood sugar > 120 mg/dl) (1 = true; 0 = false)

  • We review our decision tree scores from Kaggle and find that there is a slight improvement to 0.697 compared to 0.662 based upon the logit model (publicScore). We will try other featured engineering datasets and other more sophisticaed machine learning models in the next posts.

  • graduate_admissions_regression. A regression problem using tensorflow/keras with a small dataset. Given parameters such as test scores, number of research projects and university ranking, aims to predict the probability of a student making it onto a graduate program.

  • Jul 25, 2019 · They can be found on Kaggle as well. There are 17 datasets on Kaggle under the CC0: Public Domain license and 425 datasets on Open Data BCN. The data are related to births, deaths, population, immigrants, name frequencies, air quality, transport, etc. Graduate Admissions dataset is another Kaggle set given under the CC0: Public Domain license.

  • Sep 16, 2019 · This project is a part of the Graduate Admission competition held on Kaggle. The dataset can be downloaded from the Kaggle website which can be found here. Where is the code? Without much ado, let’s get started with the code.

  • Data Exploration on Graduation Admission Dataset from Kaggle. This blog post is the part of Udacity Data Scientist Nanodegree. Popular Topics.



Data Exploration on Graduation Admission Dataset from Kaggle. This blog post is the part of Udacity Data Scientist Nanodegree. Popular Topics.

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    Sep 16, 2019 · This project is a part of the Graduate Admission competition held on Kaggle. The dataset can be downloaded from the Kaggle website which can be found here. Where is the code? Without much ado, let’s get started with the code. Aug 21, 2019 · The Sessions tab keeps track of how much computing power you have available. Think of your Workspace tab as a GUI file structure. If you’re using a Kaggle dataset, your files will be in /kaggle/input/your-kaggle-dataset. If you’ve uploaded a dataset, your files will be in /kaggle/input/your-uploaded-data. On the Settings tab, you can change settings that you’ve previously set. datasets for machine learning projects kaggle Usually, in data science, It is a mandatory condition for data scientists to understand the data set deeply. In that case, if you are a beginner and get totally unknown domain and data set for learning.

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    Investigate the best universities in the world Angular unit testing best practicesFree habbo voucher codes 2019Stereographic projection geologyDesigned as a Kaggle algorithm competition – with $100,000 awarded to the winners – the challenge to scientists and researchers is to create algorithms for “Knowledge Tracing,” the modeling of student knowledge over time. The goal is to accurately predict how students will perform on future interactions. The method retrieve_dataset does the lifting, by establishing the connection with Kaggle, posting the request and downloading the data; The name of the dataset can be provided by the user. If not, it is inferred by the url. The method unzip is invoked to unzip the dataset (Kaggle provides zipfiles).
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    •   Jul 05, 2019 · Now that our dataset is neat and accurate, let’s move ahead to extending the dataset with new features. Feature engineering. We can add a new feature to the dataset — ‘Waiting Time Days’ to check how long the patient needs to wait for the appointment day.

    Predicting admission from important parameters. We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site.  


It is very important when you make a dataset for fitting any data model. Then we cross check if any null cells present or not. No null cell found then we print 5 sample dataset values. new_df = new_df[['Engine HP','MSRP']] # We only take the 'Engine HP' and 'MSRP' columns new_df.sample(5) # Checking the random dataset sample. Output:

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    Predicting admission from important parameters. We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site.

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    Jul 21, 2016 · Kaggle Datasets. Kaggle provides numerous public-datasets for anyone interested in performing their own analysis on the real world data by applying models and deducing insights. It’s offering ... The method retrieve_dataset does the lifting, by establishing the connection with Kaggle, posting the request and downloading the data; The name of the dataset can be provided by the user. If not, it is inferred by the url. The method unzip is invoked to unzip the dataset (Kaggle provides zipfiles).

    •   This dataset is created for prediction of Graduate Admissions from an Indian perspective. Content. The dataset contains several parameters which are considered important during the application for Masters Programs. The parameters included are : GRE Scores ( out of 340 ) TOEFL Scores ( out of 120 ) University Rating ( out of 5 )

    The Agency for Healthcare Research and Quality's (AHRQ) mission is to produce evidence to make health care safer, higher quality, more accessible, equitable, and affordable, and to work within the U.S. Department of Health and Human Services and with other partners to make sure that the evidence is understood and used.  


I was browsing Kaggle datasets and looking at the work done by the community. It was a bit disappointing to see that a large majority of the work done is plain wrong because people don't read the problem statement and apply common sense. For instance, here is an interesting dataset on heart failure. You would expect people to read and ...

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    See full list on towardsdatascience.com Jul 05, 2019 · Now that our dataset is neat and accurate, let’s move ahead to extending the dataset with new features. Feature engineering. We can add a new feature to the dataset — ‘Waiting Time Days’ to check how long the patient needs to wait for the appointment day. Jul 26, 2019 · Bonus! Dataset Aggregators. Kaggle: As always, an excellent resource for finding datasets pertaining not only to healthcare but other areas. If your healthcare explorations expand to a different ... Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. Flexible Data Ingestion. Nov 11, 2019 · Kaggle is also the best place to start playing with data as it hosts over 23,000 public datasets and more than 200,000 public notebooks that can be run online! And in case that’s not enough, Kaggle also hosts many Data Science competitions with insanely high cash prizes (1.5 Million was offered once!).

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    The Agency for Healthcare Research and Quality's (AHRQ) mission is to produce evidence to make health care safer, higher quality, more accessible, equitable, and affordable, and to work within the U.S. Department of Health and Human Services and with other partners to make sure that the evidence is understood and used. data.world ... Feedback

    data.world ... Feedback Fin null xmas scanningSpider plant benefits nasaMagento 2 training plangraduate_admissions_regression. A regression problem using tensorflow/keras with a small dataset. Given parameters such as test scores, number of research projects and university ranking, aims to predict the probability of a student making it onto a graduate program. It is very important when you make a dataset for fitting any data model. Then we cross check if any null cells present or not. No null cell found then we print 5 sample dataset values. new_df = new_df[['Engine HP','MSRP']] # We only take the 'Engine HP' and 'MSRP' columns new_df.sample(5) # Checking the random dataset sample. Output:

    •   Healthcare data sets include a vast amount of medical data, various measurements, financial data, statistical data, demographics of specific populations, and insurance data, to name just a few, gathered from various healthcare data sources. Let’s look into how data sets are used in the healthcare industry.

    The dataset contains 1,104 (80.6%) abnormal exams, with 319 (23.3%) ACL tears and 508 (37.1%) meniscal tears; labels were obtained through manual extraction from clinical reports. MURA: MSK Xrays MURA (musculoskeletal radiographs) is a large dataset of bone X-rays from the Stanford University Medical Center.  
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    In this video, Kaggle Data Scientist Rachael shows you how to search for the perfect dataset for your project using Kaggle's dataset listing. SUBSCRIBE: http... Apr 19, 2017 · On Kaggle I found this dataset on student grades. In the analysis I look at various visualizations and also compare tree-based machine learning algorithms on predicting student grades. Despite the small dataset we are able to reach almost 82% accuracy. According to the visualizations women seem to score higher on this test than men.

    Feb 10, 2017 · Web services are often protected with a challenge that's supposed to be easy for people to solve, but difficult for computers. Such a challenge is often called a CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) or HIP (Human Interactive Proof). HIPs are used for many purposes, such as to reduce email and blog spam and prevent brute-force attacks on web site pass Pua pa reddit julySep 28, 2012 · Kaggle - Classification "Those who cannot remember the past are condemned to repeat it." -- George Santayana. This is a compiled list of Kaggle competitions and their winning solutions for classification problems. The purpose to complie this list is for easier access and therefore learning from the best in data science.

    •   This dataset is created for prediction of Graduate Admissions from an Indian perspective. Content. The dataset contains several parameters which are considered important during the application for Masters Programs. The parameters included are : GRE Scores ( out of 340 ) TOEFL Scores ( out of 120 ) University Rating ( out of 5 )

    The Agency for Healthcare Research and Quality's (AHRQ) mission is to produce evidence to make health care safer, higher quality, more accessible, equitable, and affordable, and to work within the U.S. Department of Health and Human Services and with other partners to make sure that the evidence is understood and used.  


This page provides thousands of free Data Mining and Big Data Datasets to download, discover and share cool data, connect with interesting people, and work together to solve problems faster. iLovePhD.com contains open metadata on 20 million texts, images, videos and sounds gathered by the trusted and comprehensive resource.

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    Nov 11, 2019 · Kaggle is also the best place to start playing with data as it hosts over 23,000 public datasets and more than 200,000 public notebooks that can be run online! And in case that’s not enough, Kaggle also hosts many Data Science competitions with insanely high cash prizes (1.5 Million was offered once!). Mar 10, 2015 · This post outlines ten steps to Kaggle success, drawing on my personal experience and the experience of other competitors. While the focus of this post is on Kaggle competitions, it’s worth noting that most of the steps below apply to any well-defined predictive modelling problem with a closed dataset.

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    This page provides thousands of free Data Mining and Big Data Datasets to download, discover and share cool data, connect with interesting people, and work together to solve problems faster. iLovePhD.com contains open metadata on 20 million texts, images, videos and sounds gathered by the trusted and comprehensive resource. Jul 17, 2020 · Kaggle is a website for users to upload datasets, and write scripts (called kernels) to analyze the data. Kaggle also has competitions to create kernels to do specific tasks some even have monetary prizes.
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    • ~Mar 10, 2015 · This post outlines ten steps to Kaggle success, drawing on my personal experience and the experience of other competitors. While the focus of this post is on Kaggle competitions, it’s worth noting that most of the steps below apply to any well-defined predictive modelling problem with a closed dataset. See full list on medium.com

    • ~Feb 01, 2019 · This data article describes two datasets with hotel demand data. One of the hotels (H1) is a resort hotel and the other is a city hotel (H2). Both datasets share the same structure, with 31 variables describing the 40,060 observations of H1 and 79,330 observations of H2. Each observation represents a hotel booking.

    • ~Hackthebox breachFv 1 ideSep 16, 2019 · 2. Predicting chance of graduate admission using the Graduate Admission dataset from Kaggle. 3. How to perform Random Search to get the best parameters for random forests. Note: If you want to get a bit more familiar with the working of Random Forests, then you can visit one of my previous articles. That can help you to get started with Random ...

    • ~Apr 19, 2017 · On Kaggle I found this dataset on student grades. In the analysis I look at various visualizations and also compare tree-based machine learning algorithms on predicting student grades. Despite the small dataset we are able to reach almost 82% accuracy. According to the visualizations women seem to score higher on this test than men. Find the college that’s the best fit for you! The U.S. Department of Education’s College Scorecard has the most reliable data on college costs, graduation, and post-college earnings. Jul 26, 2019 · Bonus! Dataset Aggregators. Kaggle: As always, an excellent resource for finding datasets pertaining not only to healthcare but other areas. If your healthcare explorations expand to a different ... Sep 16, 2019 · This project is a part of the Graduate Admission competition held on Kaggle. The dataset can be downloaded from the Kaggle website which can be found here. Where is the code? Without much ado, let’s get started with the code.

    • ~2018 chevy impala lt problemsMar 10, 2015 · This post outlines ten steps to Kaggle success, drawing on my personal experience and the experience of other competitors. While the focus of this post is on Kaggle competitions, it’s worth noting that most of the steps below apply to any well-defined predictive modelling problem with a closed dataset. .

    • ~The method retrieve_dataset does the lifting, by establishing the connection with Kaggle, posting the request and downloading the data; The name of the dataset can be provided by the user. If not, it is inferred by the url. The method unzip is invoked to unzip the dataset (Kaggle provides zipfiles). Manawatu secondary school sports awardsShimano deore lx derailleur

    data.world ... Feedback Designed as a Kaggle algorithm competition – with $100,000 awarded to the winners – the challenge to scientists and researchers is to create algorithms for “Knowledge Tracing,” the modeling of student knowledge over time. The goal is to accurately predict how students will perform on future interactions.
    Feb 01, 2019 · This data article describes two datasets with hotel demand data. One of the hotels (H1) is a resort hotel and the other is a city hotel (H2). Both datasets share the same structure, with 31 variables describing the 40,060 observations of H1 and 79,330 observations of H2. Each observation represents a hotel booking.

    •   The dataset is available to researchers around the world via Google's Kaggle machine learning and data science community, the White House office announced earlier this month, and was made available from researchers and leaders from the Allen Institute for AI, Chan Zuckerberg Initiative, Georgetown University's Center for Security and Emerging Technology, Microsoft, and the National Library of ...

    Sep 28, 2012 · Kaggle - Classification "Those who cannot remember the past are condemned to repeat it." -- George Santayana. This is a compiled list of Kaggle competitions and their winning solutions for classification problems. The purpose to complie this list is for easier access and therefore learning from the best in data science.  
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    Biology ia examplesGantt chart javascriptApr 19, 2017 · On Kaggle I found this dataset on student grades. In the analysis I look at various visualizations and also compare tree-based machine learning algorithms on predicting student grades. Despite the small dataset we are able to reach almost 82% accuracy. According to the visualizations women seem to score higher on this test than men. Apr 19, 2017 · On Kaggle I found this dataset on student grades. In the analysis I look at various visualizations and also compare tree-based machine learning algorithms on predicting student grades. Despite the small dataset we are able to reach almost 82% accuracy. According to the visualizations women seem to score higher on this test than men.

    •   Oct 08, 2009 · I'm doing something for my end of degree project, part of which is to process data to see which are the factors that are the most important when readmissions in a hospital occur, becouse of that, I'm looking for a dataset that gives me an unique id of each patient, as well as important data (sex,age,race, time in the hospital each admission, reason for being hospitalized, result of that ...

    Sep 16, 2019 · This project is a part of the Graduate Admission competition held on Kaggle. The dataset can be downloaded from the Kaggle website which can be found here. Where is the code? Without much ado, let’s get started with the code.  


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    1979 pontiac rear end identificationIn this video, Kaggle Data Scientist Rachael shows you how to search for the perfect dataset for your project using Kaggle's dataset listing. SUBSCRIBE: http... Aug 23, 2020 · Data Exploration on Graduation Admission Dataset from Kaggle. Sadia Afrin Purba. Aug 23, 2020 2 min read

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    datasets for machine learning projects kaggle Usually, in data science, It is a mandatory condition for data scientists to understand the data set deeply. In that case, if you are a beginner and get totally unknown domain and data set for learning.  
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    Cmaa vs fxaaJul 25, 2019 · They can be found on Kaggle as well. There are 17 datasets on Kaggle under the CC0: Public Domain license and 425 datasets on Open Data BCN. The data are related to births, deaths, population, immigrants, name frequencies, air quality, transport, etc. Graduate Admissions dataset is another Kaggle set given under the CC0: Public Domain license. Jul 21, 2016 · Kaggle Datasets. Kaggle provides numerous public-datasets for anyone interested in performing their own analysis on the real world data by applying models and deducing insights. It’s offering ...

    •   In this video, Kaggle Data Scientist Rachael shows you how to search for the perfect dataset for your project using Kaggle's dataset listing. SUBSCRIBE: http...

    Oct 08, 2009 · I'm doing something for my end of degree project, part of which is to process data to see which are the factors that are the most important when readmissions in a hospital occur, becouse of that, I'm looking for a dataset that gives me an unique id of each patient, as well as important data (sex,age,race, time in the hospital each admission, reason for being hospitalized, result of that ...  


It is very important when you make a dataset for fitting any data model. Then we cross check if any null cells present or not. No null cell found then we print 5 sample dataset values. new_df = new_df[['Engine HP','MSRP']] # We only take the 'Engine HP' and 'MSRP' columns new_df.sample(5) # Checking the random dataset sample. Output:

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    Jul 17, 2020 · Kaggle is a website for users to upload datasets, and write scripts (called kernels) to analyze the data. Kaggle also has competitions to create kernels to do specific tasks some even have monetary prizes. Jul 26, 2019 · Bonus! Dataset Aggregators. Kaggle: As always, an excellent resource for finding datasets pertaining not only to healthcare but other areas. If your healthcare explorations expand to a different ...

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    I was browsing Kaggle datasets and looking at the work done by the community. It was a bit disappointing to see that a large majority of the work done is plain wrong because people don't read the problem statement and apply common sense. For instance, here is an interesting dataset on heart failure. You would expect people to read and ... How to use github pagesSep 16, 2019 · This project is a part of the Graduate Admission competition held on Kaggle. The dataset can be downloaded from the Kaggle website which can be found here. Where is the code? Without much ado, let’s get started with the code.

    •   Oct 08, 2009 · I'm doing something for my end of degree project, part of which is to process data to see which are the factors that are the most important when readmissions in a hospital occur, becouse of that, I'm looking for a dataset that gives me an unique id of each patient, as well as important data (sex,age,race, time in the hospital each admission, reason for being hospitalized, result of that ...

     


Feb 10, 2017 · Web services are often protected with a challenge that's supposed to be easy for people to solve, but difficult for computers. Such a challenge is often called a CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) or HIP (Human Interactive Proof). HIPs are used for many purposes, such as to reduce email and blog spam and prevent brute-force attacks on web site pass

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    Springboard geometry page 258Daimler dingo for saleSep 16, 2019 · 2. Predicting chance of graduate admission using the Graduate Admission dataset from Kaggle. 3. How to perform Random Search to get the best parameters for random forests. Note: If you want to get a bit more familiar with the working of Random Forests, then you can visit one of my previous articles. That can help you to get started with Random ... The dataset contains 1,104 (80.6%) abnormal exams, with 319 (23.3%) ACL tears and 508 (37.1%) meniscal tears; labels were obtained through manual extraction from clinical reports. MURA: MSK Xrays MURA (musculoskeletal radiographs) is a large dataset of bone X-rays from the Stanford University Medical Center. Jul 25, 2019 · They can be found on Kaggle as well. There are 17 datasets on Kaggle under the CC0: Public Domain license and 425 datasets on Open Data BCN. The data are related to births, deaths, population, immigrants, name frequencies, air quality, transport, etc. Graduate Admissions dataset is another Kaggle set given under the CC0: Public Domain license.

    •   datasets for machine learning projects kaggle Usually, in data science, It is a mandatory condition for data scientists to understand the data set deeply. In that case, if you are a beginner and get totally unknown domain and data set for learning.

    Jul 26, 2019 · Bonus! Dataset Aggregators. Kaggle: As always, an excellent resource for finding datasets pertaining not only to healthcare but other areas. If your healthcare explorations expand to a different ...  
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    Scrabble termsHow to use minecraft world templates ps4The method retrieve_dataset does the lifting, by establishing the connection with Kaggle, posting the request and downloading the data; The name of the dataset can be provided by the user. If not, it is inferred by the url. The method unzip is invoked to unzip the dataset (Kaggle provides zipfiles). Kaggle Pneumonia Dataset

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    Get Free College Admissions Dataset now and use College Admissions Dataset immediately to get % off or $ off or free shipping. Search. ... Live www.kaggle.com ...

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    Designed as a Kaggle algorithm competition – with $100,000 awarded to the winners – the challenge to scientists and researchers is to create algorithms for “Knowledge Tracing,” the modeling of student knowledge over time. The goal is to accurately predict how students will perform on future interactions. In this video, Kaggle Data Scientist Rachael shows you how to search for the perfect dataset for your project using Kaggle's dataset listing. SUBSCRIBE: http... Sep 16, 2019 · This project is a part of the Graduate Admission competition held on Kaggle. The dataset can be downloaded from the Kaggle website which can be found here. Where is the code? Without much ado, let’s get started with the code. In this video, Kaggle Data Scientist Rachael shows you how to search for the perfect dataset for your project using Kaggle's dataset listing. SUBSCRIBE: http...

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    Find the college that’s the best fit for you! The U.S. Department of Education’s College Scorecard has the most reliable data on college costs, graduation, and post-college earnings. datasets for machine learning projects kaggle Usually, in data science, It is a mandatory condition for data scientists to understand the data set deeply. In that case, if you are a beginner and get totally unknown domain and data set for learning. Feb 10, 2017 · Web services are often protected with a challenge that's supposed to be easy for people to solve, but difficult for computers. Such a challenge is often called a CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) or HIP (Human Interactive Proof). HIPs are used for many purposes, such as to reduce email and blog spam and prevent brute-force attacks on web site pass

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    Fat sharkSharepoint snippetusing Python and its various libraries on a Kaggle dataset. After implementing immense research on the dataset, explored the relationship between each factor which contribute in one or the other way to get an admit. Finally, using linear regression, allowed the program to predict the data from the user. Sep 28, 2012 · Kaggle - Classification "Those who cannot remember the past are condemned to repeat it." -- George Santayana. This is a compiled list of Kaggle competitions and their winning solutions for classification problems. The purpose to complie this list is for easier access and therefore learning from the best in data science.

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    Oct 08, 2009 · I'm doing something for my end of degree project, part of which is to process data to see which are the factors that are the most important when readmissions in a hospital occur, becouse of that, I'm looking for a dataset that gives me an unique id of each patient, as well as important data (sex,age,race, time in the hospital each admission, reason for being hospitalized, result of that ... 97 gti vr6 for saleJul 25, 2019 · They can be found on Kaggle as well. There are 17 datasets on Kaggle under the CC0: Public Domain license and 425 datasets on Open Data BCN. The data are related to births, deaths, population, immigrants, name frequencies, air quality, transport, etc. Graduate Admissions dataset is another Kaggle set given under the CC0: Public Domain license. Healthcare data sets include a vast amount of medical data, various measurements, financial data, statistical data, demographics of specific populations, and insurance data, to name just a few, gathered from various healthcare data sources. Let’s look into how data sets are used in the healthcare industry. Sep 28, 2012 · Kaggle - Classification "Those who cannot remember the past are condemned to repeat it." -- George Santayana. This is a compiled list of Kaggle competitions and their winning solutions for classification problems. The purpose to complie this list is for easier access and therefore learning from the best in data science.

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    Are wedding gifts taxable income2005 volvo xc90 ambient temperature sensor locationJul 17, 2020 · Kaggle is a website for users to upload datasets, and write scripts (called kernels) to analyze the data. Kaggle also has competitions to create kernels to do specific tasks some even have monetary prizes. Pike county ky courtsHi, I recently read an article here and got an interesting idea of performing data analysis and Machine Learning on college application data. I'm looking for a data set that includes information about individual student applicants like their GPA, SAT score and whether they got accepted or not. Mar 10, 2015 · This post outlines ten steps to Kaggle success, drawing on my personal experience and the experience of other competitors. While the focus of this post is on Kaggle competitions, it’s worth noting that most of the steps below apply to any well-defined predictive modelling problem with a closed dataset. This dataset is created for prediction of Graduate Admissions from an Indian perspective. Content. The dataset contains several parameters which are considered important during the application for Masters Programs. The parameters included are : GRE Scores ( out of 340 ) TOEFL Scores ( out of 120 ) University Rating ( out of 5 )

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    datasets for machine learning projects kaggle Usually, in data science, It is a mandatory condition for data scientists to understand the data set deeply. In that case, if you are a beginner and get totally unknown domain and data set for learning. Honda usb port not workingDesigned as a Kaggle algorithm competition – with $100,000 awarded to the winners – the challenge to scientists and researchers is to create algorithms for “Knowledge Tracing,” the modeling of student knowledge over time. The goal is to accurately predict how students will perform on future interactions. We review our decision tree scores from Kaggle and find that there is a slight improvement to 0.697 compared to 0.662 based upon the logit model (publicScore). We will try other featured engineering datasets and other more sophisticaed machine learning models in the next posts.

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    Predicting admission from important parameters. We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site. Predicting admission from important parameters. We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site. Feb 01, 2019 · This data article describes two datasets with hotel demand data. One of the hotels (H1) is a resort hotel and the other is a city hotel (H2). Both datasets share the same structure, with 31 variables describing the 40,060 observations of H1 and 79,330 observations of H2. Each observation represents a hotel booking.

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    I was browsing Kaggle datasets and looking at the work done by the community. It was a bit disappointing to see that a large majority of the work done is plain wrong because people don't read the problem statement and apply common sense. For instance, here is an interesting dataset on heart failure. You would expect people to read and ... Feb 01, 2019 · This data article describes two datasets with hotel demand data. One of the hotels (H1) is a resort hotel and the other is a city hotel (H2). Both datasets share the same structure, with 31 variables describing the 40,060 observations of H1 and 79,330 observations of H2. Each observation represents a hotel booking.

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    Investigate the best universities in the world Sep 16, 2019 · This project is a part of the Graduate Admission competition held on Kaggle. The dataset can be downloaded from the Kaggle website which can be found here. Where is the code? Without much ado, let’s get started with the code.

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    We review our decision tree scores from Kaggle and find that there is a slight improvement to 0.697 compared to 0.662 based upon the logit model (publicScore). We will try other featured engineering datasets and other more sophisticaed machine learning models in the next posts. Predicting admission from important parameters. We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site.

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    Jul 17, 2020 · Kaggle is a website for users to upload datasets, and write scripts (called kernels) to analyze the data. Kaggle also has competitions to create kernels to do specific tasks some even have monetary prizes. Data Exploration on Graduation Admission Dataset from Kaggle. This blog post is the part of Udacity Data Scientist Nanodegree. Popular Topics. In this video, Kaggle Data Scientist Rachael shows you how to search for the perfect dataset for your project using Kaggle's dataset listing. SUBSCRIBE: http... The dataset is available to researchers around the world via Google's Kaggle machine learning and data science community, the White House office announced earlier this month, and was made available from researchers and leaders from the Allen Institute for AI, Chan Zuckerberg Initiative, Georgetown University's Center for Security and Emerging Technology, Microsoft, and the National Library of ...

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    Mar 10, 2015 · This post outlines ten steps to Kaggle success, drawing on my personal experience and the experience of other competitors. While the focus of this post is on Kaggle competitions, it’s worth noting that most of the steps below apply to any well-defined predictive modelling problem with a closed dataset. We review our decision tree scores from Kaggle and find that there is a slight improvement to 0.697 compared to 0.662 based upon the logit model (publicScore). We will try other featured engineering datasets and other more sophisticaed machine learning models in the next posts. Aug 21, 2019 · The Sessions tab keeps track of how much computing power you have available. Think of your Workspace tab as a GUI file structure. If you’re using a Kaggle dataset, your files will be in /kaggle/input/your-kaggle-dataset. If you’ve uploaded a dataset, your files will be in /kaggle/input/your-uploaded-data. On the Settings tab, you can change settings that you’ve previously set.

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    Jul 02, 2019 · What is a dataset? A dataset, or data set, is simply a collection of data. The simplest and most common format for datasets you’ll find online is a spreadsheet or CSV format — a single file organized as a table of rows and columns. But some datasets will be stored in other formats, and they don’t have to be just one file.

    We review our decision tree scores from Kaggle and find that there is a slight improvement to 0.697 compared to 0.662 based upon the logit model (publicScore). We will try other featured engineering datasets and other more sophisticaed machine learning models in the next posts. This dataset is created for prediction of Graduate Admissions from an Indian perspective. Content. The dataset contains several parameters which are considered important during the application for Masters Programs. The parameters included are : GRE Scores ( out of 340 ) TOEFL Scores ( out of 120 ) University Rating ( out of 5 ) This dataset contains information about the undergraduate selection process for entering first-time, degree/certificate-seeking students. This includes information about admission considerations, applicants, applicants that were admitted, and admitted students who enrolled.

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    Designed as a Kaggle algorithm competition – with $100,000 awarded to the winners – the challenge to scientists and researchers is to create algorithms for “Knowledge Tracing,” the modeling of student knowledge over time. The goal is to accurately predict how students will perform on future interactions.

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    The Agency for Healthcare Research and Quality's (AHRQ) mission is to produce evidence to make health care safer, higher quality, more accessible, equitable, and affordable, and to work within the U.S. Department of Health and Human Services and with other partners to make sure that the evidence is understood and used. Feb 01, 2019 · This data article describes two datasets with hotel demand data. One of the hotels (H1) is a resort hotel and the other is a city hotel (H2). Both datasets share the same structure, with 31 variables describing the 40,060 observations of H1 and 79,330 observations of H2. Each observation represents a hotel booking.

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    data.world ... Feedback Jul 25, 2019 · They can be found on Kaggle as well. There are 17 datasets on Kaggle under the CC0: Public Domain license and 425 datasets on Open Data BCN. The data are related to births, deaths, population, immigrants, name frequencies, air quality, transport, etc. Graduate Admissions dataset is another Kaggle set given under the CC0: Public Domain license.

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    Sep 16, 2019 · This project is a part of the Graduate Admission competition held on Kaggle. The dataset can be downloaded from the Kaggle website which can be found here. Where is the code? Without much ado, let’s get started with the code. The complete project on github can be found here. The dataset is available to researchers around the world via Google's Kaggle machine learning and data science community, the White House office announced earlier this month, and was made available from researchers and leaders from the Allen Institute for AI, Chan Zuckerberg Initiative, Georgetown University's Center for Security and Emerging Technology, Microsoft, and the National Library of ...

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    Investigate the best universities in the world Dismiss Join GitHub today. GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Predicting admission from important parameters. We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site.

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    Feb 10, 2017 · Web services are often protected with a challenge that's supposed to be easy for people to solve, but difficult for computers. Such a challenge is often called a CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) or HIP (Human Interactive Proof). HIPs are used for many purposes, such as to reduce email and blog spam and prevent brute-force attacks on web site pass I was browsing Kaggle datasets and looking at the work done by the community. It was a bit disappointing to see that a large majority of the work done is plain wrong because people don't read the problem statement and apply common sense. For instance, here is an interesting dataset on heart failure. You would expect people to read and ... Get Free College Admissions Dataset now and use College Admissions Dataset immediately to get % off or $ off or free shipping. Search. ... Live www.kaggle.com ...

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    Oct 08, 2009 · I'm doing something for my end of degree project, part of which is to process data to see which are the factors that are the most important when readmissions in a hospital occur, becouse of that, I'm looking for a dataset that gives me an unique id of each patient, as well as important data (sex,age,race, time in the hospital each admission, reason for being hospitalized, result of that ... Sep 16, 2019 · This project is a part of the Graduate Admission competition held on Kaggle. The dataset can be downloaded from the Kaggle website which can be found here. Where is the code? Without much ado, let’s get started with the code. The complete project on github can be found here.

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    Designed as a Kaggle algorithm competition – with $100,000 awarded to the winners – the challenge to scientists and researchers is to create algorithms for “Knowledge Tracing,” the modeling of student knowledge over time. The goal is to accurately predict how students will perform on future interactions. Jul 26, 2019 · Bonus! Dataset Aggregators. Kaggle: As always, an excellent resource for finding datasets pertaining not only to healthcare but other areas. If your healthcare explorations expand to a different ... Feb 01, 2019 · This data article describes two datasets with hotel demand data. One of the hotels (H1) is a resort hotel and the other is a city hotel (H2). Both datasets share the same structure, with 31 variables describing the 40,060 observations of H1 and 79,330 observations of H2. Each observation represents a hotel booking.

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    graduate_admissions_regression. A regression problem using tensorflow/keras with a small dataset. Given parameters such as test scores, number of research projects and university ranking, aims to predict the probability of a student making it onto a graduate program. Jul 05, 2019 · Now that our dataset is neat and accurate, let’s move ahead to extending the dataset with new features. Feature engineering. We can add a new feature to the dataset — ‘Waiting Time Days’ to check how long the patient needs to wait for the appointment day. This dataset contains information about the undergraduate selection process for entering first-time, degree/certificate-seeking students. This includes information about admission considerations, applicants, applicants that were admitted, and admitted students who enrolled. Feb 01, 2019 · This data article describes two datasets with hotel demand data. One of the hotels (H1) is a resort hotel and the other is a city hotel (H2). Both datasets share the same structure, with 31 variables describing the 40,060 observations of H1 and 79,330 observations of H2. Each observation represents a hotel booking. Jul 17, 2020 · Kaggle is a website for users to upload datasets, and write scripts (called kernels) to analyze the data. Kaggle also has competitions to create kernels to do specific tasks some even have monetary prizes.

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    Data Exploration on Graduation Admission Dataset from Kaggle. This blog post is the part of Udacity Data Scientist Nanodegree. Popular Topics.

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    using Python and its various libraries on a Kaggle dataset. After implementing immense research on the dataset, explored the relationship between each factor which contribute in one or the other way to get an admit. Finally, using linear regression, allowed the program to predict the data from the user. graduate_admissions_regression. A regression problem using tensorflow/keras with a small dataset. Given parameters such as test scores, number of research projects and university ranking, aims to predict the probability of a student making it onto a graduate program. using Python and its various libraries on a Kaggle dataset. After implementing immense research on the dataset, explored the relationship between each factor which contribute in one or the other way to get an admit. Finally, using linear regression, allowed the program to predict the data from the user.

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    The method retrieve_dataset does the lifting, by establishing the connection with Kaggle, posting the request and downloading the data; The name of the dataset can be provided by the user. If not, it is inferred by the url. The method unzip is invoked to unzip the dataset (Kaggle provides zipfiles). Designed as a Kaggle algorithm competition – with $100,000 awarded to the winners – the challenge to scientists and researchers is to create algorithms for “Knowledge Tracing,” the modeling of student knowledge over time. The goal is to accurately predict how students will perform on future interactions.

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    This page provides thousands of free Data Mining and Big Data Datasets to download, discover and share cool data, connect with interesting people, and work together to solve problems faster. iLovePhD.com contains open metadata on 20 million texts, images, videos and sounds gathered by the trusted and comprehensive resource. Healthcare data sets include a vast amount of medical data, various measurements, financial data, statistical data, demographics of specific populations, and insurance data, to name just a few, gathered from various healthcare data sources. Let’s look into how data sets are used in the healthcare industry. Jul 26, 2019 · Bonus! Dataset Aggregators. Kaggle: As always, an excellent resource for finding datasets pertaining not only to healthcare but other areas. If your healthcare explorations expand to a different ...

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    Nov 11, 2019 · Kaggle is also the best place to start playing with data as it hosts over 23,000 public datasets and more than 200,000 public notebooks that can be run online! And in case that’s not enough, Kaggle also hosts many Data Science competitions with insanely high cash prizes (1.5 Million was offered once!). datasets for machine learning projects kaggle Usually, in data science, It is a mandatory condition for data scientists to understand the data set deeply. In that case, if you are a beginner and get totally unknown domain and data set for learning.

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    Investigate the best universities in the world Sep 16, 2019 · 2. Predicting chance of graduate admission using the Graduate Admission dataset from Kaggle. 3. How to perform Random Search to get the best parameters for random forests. Note: If you want to get a bit more familiar with the working of Random Forests, then you can visit one of my previous articles. That can help you to get started with Random ...

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Vmi van problemsFeb 01, 2019 · This data article describes two datasets with hotel demand data. One of the hotels (H1) is a resort hotel and the other is a city hotel (H2). Both datasets share the same structure, with 31 variables describing the 40,060 observations of H1 and 79,330 observations of H2. Each observation represents a hotel booking. Python pillow pointTransmission hesitates when cold

Sep 16, 2019 · 2. Predicting chance of graduate admission using the Graduate Admission dataset from Kaggle. 3. How to perform Random Search to get the best parameters for random forests. Note: If you want to get a bit more familiar with the working of Random Forests, then you can visit one of my previous articles. That can help you to get started with Random ...

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Feb 10, 2017 · Web services are often protected with a challenge that's supposed to be easy for people to solve, but difficult for computers. Such a challenge is often called a CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) or HIP (Human Interactive Proof). HIPs are used for many purposes, such as to reduce email and blog spam and prevent brute-force attacks on web site pass In this video, Kaggle Data Scientist Rachael shows you how to search for the perfect dataset for your project using Kaggle's dataset listing. SUBSCRIBE: http... Find the college that’s the best fit for you! The U.S. Department of Education’s College Scorecard has the most reliable data on college costs, graduation, and post-college earnings. Fifa 20 player career mode traits

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This dataset is created for prediction of Graduate Admissions from an Indian perspective. Content. The dataset contains several parameters which are considered important during the application for Masters Programs. The parameters included are : GRE Scores ( out of 340 ) TOEFL Scores ( out of 120 ) University Rating ( out of 5 ) Oct 08, 2009 · I'm doing something for my end of degree project, part of which is to process data to see which are the factors that are the most important when readmissions in a hospital occur, becouse of that, I'm looking for a dataset that gives me an unique id of each patient, as well as important data (sex,age,race, time in the hospital each admission, reason for being hospitalized, result of that ... Dutch shepherd breeders near mePhonk artists.
Feb 10, 2017 · Web services are often protected with a challenge that's supposed to be easy for people to solve, but difficult for computers. Such a challenge is often called a CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) or HIP (Human Interactive Proof). HIPs are used for many purposes, such as to reduce email and blog spam and prevent brute-force attacks on web site pass Hackerrank test redditSep 28, 2012 · Kaggle - Classification "Those who cannot remember the past are condemned to repeat it." -- George Santayana. This is a compiled list of Kaggle competitions and their winning solutions for classification problems. The purpose to complie this list is for easier access and therefore learning from the best in data science.
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