My ML Journey

Why I'm Documenting This

Learning ML in public. Every entry is a day of studying: what clicked, what confused me, and what I'm pulling on next. Writing forces me to actually understand things, not just watch them go by. If it helps someone else figure something out, even better.

Daily notes on machine learning, deep learning, and AI.

2 entries

June 29, 2026·2 min read

Feature Selection Picks What to Keep, Feature Extraction Builds Something New

Not all features in a dataset are worth keeping. Some are redundant. Some are noise. Some slow down training without adding any predictive signal. Feature engin

June 25, 2026·1 min read

PCA Doesn't Remove Features: It Finds Better Ones

When you have a dataset with 50 features, most ML models struggle. More features means more noise, slower training, and harder interpretation. The naive solutio