An Quadrotor Safety Monitorting System

Implemented and optimized a anomaly detection algorithm called Isolation Forest, which can receive temporal information and feed back the abnormal degree.

Predicting Rossmann Store Sales

This is a Kaggle project that should predict 6 weeks of daily sales for 1,115 stores.

Creating Customer Segments

Use unsupervised learning techniques to see if any similarities exist between customers, and how to best segment customers into distinct categories.

Finding Donors for CharityML

The goal of this project is determine an algorithm that will provide the highest donation yield while also reducing the total number of letters being sent.

Predicting Boston Housing Prices

This is a optimal model based on a statistical analysis that can estimate the best selling price for client’s home.