Exploring Machine Learning and AI
Hi, I’m Eric. I share insights, experiments, and ideas through my work and blog articles.
Featured Articles
Better customer churn prediction is possible: See how we applied both Random Forest and XGBoost models to telecom data to anticipate cancellations in advance.
Predict house prices using a linear regression model built entirely with NumPy. This beginner project covers data prep, cost function, and gradient descent.
Learn exploratory data analysis, feature engineering & hypothesis testing through Telco churn case study. Step-by-step Python guide for data science beginners.
