Machine Learning Projects

e-commerce binary classification with Starbucks Data

This project shows the ETL and Machine Learning model building process to predict whether a client will accept an e-commerce offer

Comparison of binary classification machine learning algorithms to predict US population income data (>85% accuracy)

This project shows the process of manipulating data and building a Machine Learning model to predict whether a US citizen has an income higher than $50,000 per year and a comparison of 3 ML models