Forecasting Criminal Activity in San Francisco using XGBoost and Python

I recently came across an interesting Kaggle contest that involves predicting different types of criminal activity in San Francisco. As you can imagine, in a massive city like San Francisco, numerous crimes happen every day. Crime statistics distinguish between 39 … Continued

Anyone About to Leave? Customer Churn Prediction at a Telecommunications Provider in Python

This article shows how to implement a customer churn prediction model using Python machine learning. Furthermore, we will use permutation feature importance to gain insight into the relationship between input variables and model predictions. Telecommunications service providers face considerable pressure … Continued

Hyperparameter Tuning a Random Forest Classifier using Grid Search in Python

This article shows how to employ the grid search technique in Python to optimize the hyperparameters of a machine learning model. Hyperparameters control how a machine learning algorithm learns and how it behaves. Unlike the internal parameters (coefficients, etc.) that … Continued