Skip to content

saisankargochhayat/kaggle-classification

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 

Repository files navigation

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.

Literature review is a crucial yet sometimes overlooked part in data science. To avoid reinventing the wheels and get inspired on how to preprocess, engineer, and model the data, it's worth spend 1/10 to 1/5 of the project time just researching how people deal with similar problems/datasets.

Time spent on literature review is time well spent.

This is only one list of the whole compilation. For other lists of competitions and solutions, please refer to:

Hope the compilation can save you efforts and offer you insights. Enjoy!

======

Fri 28 Sep 2012 - Sat 31 Dec 2016

Predict survival on the Titanic using Excel, Python, R & Random Forests

======

Mon 11 Jul 2016 - Mon 5 Sep 2016

Get to know millions of mobile device users

======

Mon 21 Mar 2016 - Sun 31 Jul 2016

Help improve outcomes for shelter animals

======

Tue 2 Jun 2015 – Mon 6 Jun 2016

Predict the category of crimes that occurred in the city by the bay

======

Wed 2 Mar 2016 – Mon 2 May 2016

Which customers are happy customers?

======

Wed 3 Feb 2016 – Mon 18 Apr 2016

Can you accelerate BNP Paribas Cardif's claims management process?

======

Thu 11 Feb 2016 – Tue 5 Apr 2016

Predict the 2016 NCAA Basketball Tournament

======

Wed 25 Nov 2015 – Mon 29 Feb 2016

Telstra is challenging Kagglers to predict the severity of service disruptions on their network. Using a dataset of features from their service logs, you're tasked with predicting if a disruption is a momentary glitch or a total interruption of connectivity.

======

Mon 23 Nov 2015 – Mon 15 Feb 2016

By developing a predictive model that accurately classifies risk using a more automated approach, you can greatly impact public perception of the industry.

======

Wed 7 Oct 2015 – Sat 13 Feb 2016

Using a dataset of multiple choice question and answers from a standardized 8th grade science exam, AI2 is challenging you to create a model that gets to the head of the class.

======

Wed 25 Nov 2015 – Thu 11 Feb 2016

In this recruiting competition, Airbnb challenges you to predict in which country a new user will make his or her first booking.

======

Mon 9 Nov 2015 – Mon 8 Feb 2016

Which customers will purchase a quoted insurance plan?

======

Mon 26 Oct 2015 – Sun 27 Dec 2015

Walmart is challenging Kagglers to focus on the (data) science and classify customer trips using only a transactional dataset of the items they've purchased.

======

Wed 9 Sep 2015 – Sun 20 Dec 2015

Use recipe ingredients to categorize the cuisine

======

Fri 14 Aug 2015 – Mon 19 Oct 2015

Determine whether to send a direct mail piece to a customer

======

Thu 6 Aug 2015 – Wed 14 Oct 2015

Predict which web pages served by StumbleUpon are sponsored

======

Mon 20 Jul 2015 – Mon 12 Oct 2015

Identify a rare decay phenomenon

======

Tue 2 Jun 2015 – Tue 28 Jul 2015

Predict if context ads will earn a user's click

======

Mon 11 May 2015 – Mon 6 Jul 2015

Predict the relevance of search results from eCommerce sites

======

Wed 22 Apr 2015 – Wed 17 Jun 2015

Predict West Nile virus in mosquitos across the city of Chicago

======

Mon 27 Apr 2015 – Mon 8 Jun 2015

The goal of this competition is to identify online auction bids that are placed by "robots", helping the site owners easily flag these users for removal from their site to prevent unfair auction activity.

======

Wed 3 Dec 2014 – Mon 1 Jun 2015

Determine the poker hand of five playing cards

======

Thu 29 May 2014 – Mon 1 Jun 2015

Predicting altruism through free pizza

======

Tue 17 Mar 2015 – Mon 18 May 2015

Classify products into the correct category

======

Fri 16 May 2014 – Mon 11 May 2015

Use cartographic variables to classify forest categories

======

Tue 3 Feb 2015 – Fri 17 Apr 2015

Classify malware into families based on file content and characteristics

======

Mon 2 Feb 2015 – Tue 7 Apr 2015

Predict the 2015 NCAA Basketball Tournament

======

Wed 19 Nov 2014 – Tue 24 Feb 2015

A spell on you if you cannot detect errors!

======

Tue 18 Nov 2014 – Mon 9 Feb 2015

Predict whether a mobile ad will be clicked

======

Wed 6 Mar 2013 – Wed 31 Dec 2014

Scikit-learn is an open-source machine learning library for Python. Give it a try here!

======

Tue 24 Jun 2014 – Tue 23 Sep 2014

Predict click-through rates on display ads

======

Thu 5 Jun 2014 – Sun 20 Jul 2014

Diagnose schizophrenia using multimodal features from MRI scans

======

Mon 2 Jun 2014 – Tue 15 Jul 2014

Multi-label classification of printed media articles to topics

======

Thu 15 May 2014 – Tue 15 Jul 2014

Predict funding requests that deserve an A+

======

Thu 10 Apr 2014 – Mon 14 Jul 2014

Predict which shoppers will become repeat buyers

======

Tue 18 Feb 2014 – Mon 19 May 2014

Predict a purchased policy based on transaction history

======

Tue 7 Jan 2014 – Tue 8 Apr 2014

Tip off college basketball by predicting the 2014 NCAA Tournament

======

Tue 23 Jul 2013 – Fri 22 Nov 2013

Recognize users of mobile devices from accelerometer data

======

Fri 16 Aug 2013 – Thu 31 Oct 2013

Build a classifier to categorize webpages as evergreen or non-evergreen

======

Fri 29 Mar 2013 – Mon 2 Sep 2013

Given samples from a pair of variables A, B, find whether A is a cause of B.

======

Wed 29 May 2013 – Wed 31 Jul 2013

Predict an employee's access needs, given his/her job role

======

Fri 19 Apr 2013 – Wed 12 Jun 2013

Identify which authors correspond to the same person

======

Tue 21 Aug 2012 – Sat 3 Nov 2012

Predict which new questions asked on Stack Overflow will be closed

======

Thu 16 Aug 2012 – Tue 16 Oct 2012

Help develop safe and effective medicines by predicting molecular activity.

======

Sat 18 Aug 2012 – Sun 30 Sep 2012

Predict which BestBuy product a mobile web visitor will be most interested in based on their search query or behavior over 2 years (7 GB).

======

Sat 18 Aug 2012 – Sun 30 Sep 2012

Getting Started - Predict which Xbox game a visitor will be most interested in based on their search query. (20 MB)

======

Tue 10 Jul 2012 – Mon 10 Sep 2012

Identify patients diagnosed with Type 2 Diabetes

======

Tue 8 May 2012 – Fri 29 Jun 2012

Identify the best performing model(s) to predict personality traits based on Twitter usage

======

Fri 16 Mar 2012 – Fri 15 Jun 2012

Predict a biological response of molecules from their chemical properties

======

Tue 20 Mar 2012 – Sun 15 Apr 2012

Determine how people may be identified based on their eye movement characteristic.

======

Fri 18 Nov 2011 – Wed 29 Feb 2012

Improve the state of the art in student evaluation by predicting whether a student will answer the next test question correctly.

======

Fri 30 Sep 2011 – Thu 5 Jan 2012

Predict if a car purchased at auction is a lemon (new car with defects)

======

Mon 19 Sep 2011 – Thu 15 Dec 2011

Improve on the state of the art in credit scoring by predicting the probability that somebody will experience financial distress in the next two years.

======

Sat 29 Oct 2011 – Sun 20 Nov 2011

Given anonymized information on thousands of photo albums, predict whether a human evaluator would mark them as 'good'.

======

Mon 28 Feb 2011 – Sun 15 May 2011

With nearly as many variables as training cases, what are the best techniques to avoid disaster?

======

Wed 19 Jan 2011 – Wed 9 Mar 2011

Driving while not alert can be deadly. The objective is to design a classifier that will detect whether the driver is alert or not alert, employing data that are acquired while driving.

======

Mon 13 Dec 2010 – Sun 20 Feb 2011

This task requires participants to predict the outcome of grant applications for the University of Melbourne.

======

Mon 8 Nov 2010 – Tue 11 Jan 2011

This competition requires participants to predict edges in an online social network. The winner will receive free registration and the opportunity to present their solution at IJCNN 2011.

======

Sun 10 Oct 2010 – Tue 8 Feb 2011

The aim of this competition is to develop a recommendation engine for R libraries (or packages). (R is opensource statistics software.)

======

Mon 21 Jun 2010 – Sun 10 Oct 2010

The goal of this contest is to predict short term movements in stock prices. The winners of this contest will be honoured of the INFORMS Annual Meeting in Austin-Texas (November 7-10).

======

Tue 27 Apr 2010 – Mon 2 Aug 2010

This contest requires competitors to predict the likelihood that an HIV patient's infection will become less severe, given a small dataset and limited clinical information.

======

Wed 7 Apr 2010 – Tue 25 May 2010

This competition requires contestants to forecast the voting for this year's Eurovision Song Contest in Norway on May 25th, 27th and 29th.

======

About

A compiled list of kaggle competitions and their winning solutions for classification problems.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published