Using Random Search to Tune the Hyperparameters of a Random Decision Forest with Python

random search hyperparameter tuning a regression model python

This article presents random search as an efficient method for automated hyperparameter tuning. Hyperparameters are model properties (e.g., the number of estimators for an ensemble model). The performance of machine learning models depends heavily on the hyperparameters. Unlike model parameters, … Read more

Crime Prevention in San Francisco using XGBoost and Python

san Francisco crime map python

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 … Read more

Customer Churn Prediction – Understanding Models with Feature Permutation Importance using Python

churn prediction python

One of the primary goals of many service companies is to build solid and long-lasting relationships with their customers. Customers who churn cost a lot of money. Modern service companies who understand which customers tend to end the business relationship … Read more