The project concerns an international e-commerce company* based in the USA who want to discover key insights from their customer database. They want to use some of the most advanced machine learning techniques to study their customers.

Practice project using Kaggle competition data on NYC Taxi Trips

I am interested in exploring machine learning techniques to predict the outcome of a European soccer game using game and player information collected. The generated predictive model will be able to predict the outcome of a game as Win, Loss or Draw for the home team. This model will use various attributes that are calculated each year for both h…

This is a solution to a Kaggle competition on predicting claim severity for Allstate Insurance using the Extreme Gradient Boosting (XgBoost) algorithm in R

This report uses publicly available data including from the City of Detroit’s ‘Detroit’s Open Data Portal’ as well as ‘Data Driven Detroit’ to predict Detroit Police Department response time to emergency response calls placed from various areas of the city.

A multi-label classification model for classifying comments from Wikipedia talk page edits into different types of toxicity(insult, threat, identity hate, etc).