Learning Predictive Analytics: Kaggle Competition Solutions

Success in Kaggle is a combination of many things like Machine Learning experience, type of competitions and your ability to work in a team. One should have tried a few beginner’s problems before getting into the advanced problems. Also, doing some hands-on with the data before looking at the solutions will make it easier for you to understand the rationale behind using a particular technique and the feature engineering aspects. Here are links to some amazing solutions to Kaggle problems:

You may also refer to the post secret sauce to Kaggle solutions for understanding approach to the solutions, feature engineering and algorithms used .

Walmart Recruiting – Store Sales Forecasting

Competition Link
Link to a detailed Tutorial
Solution Thread in Kaggle

Allstate Purchase Prediction Challenge

Competition Link
Solution Link

Amazon Employee Access Challenge

Competition Link
Link to Code and Solution for Leaderboard 146
A Blog with Solution Approach
A Solution Approach in Data Science Geek

Driver Telematics Analysis

Competition Link
Link to Winner’s Interview

StumbleUpon Evergreen Classification Challenge

Competition Link
Solution Approach 1
Solution Approach 2

Detecting Insults in Social Commentary

Competition Link
Rank 1 Solution with Approach in Brief

Facebook Recruiting IV: Human or Robot?

Competition Link
Solution Approach

Bike Sharing Demand

Competition Link
Solution Approach

Algorithmic Trading Challenge

Competition Link
Solution Approach

Loan Default Prediction – Imperial College London

Competition Link
Solution Code in Github

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