Crime Prevention in San Francisco using XGBoost and Python

Crime Prediction using XGBoost and Python, sf crime map

This tutorial predicts crime types in San Francisco (SF) and plots them on a zoomable city map. We work with a Kaggle dataset containing past crimes and distinguish between 39 crime types, including vehicle theft, assault, and drug-related activities. We then use Python and Scikit-Learn to train a classification model … Read more

Classifying Purchase Intentions of Online Shoppers with Python

purchase intention prediction

Most online stores welcome countless visitors every day, but only a fraction of those visitors will make a purchase. Machine learning can predict whether online shoppers will buy something or browse around. This article will develop a classification model that predicts purchase intentions. Our model uses a Logistic Regression algorithm … Read more