Table of Contents

1. Introduction
2. Linear Regression
3. Random Forrests and Gradient Boosting
4. U.S. Census and 2016 Elections
5. Predicting Loan Application Approvals with XGBoost
6. Home Credit Default Risk
7. Markov Clustering
8. Probabilistic Graphical Models
9. Predicting NYC taxi fares

Introduction

Random data science projects. More to come...