BACK TO STUDYING: HOMLP CHAPTER 5, DECISION TREES & COLD BREW
This weekend I’m back studying Chapter 5 (Decision Trees) from Hands-On Machine Learning.
I took about a month off. Decision Trees are satisfying to study. The logic is clean. Split the data. Measure impurity. Control depth. Avoid overfitting. You can visualize exactly how predictions are made. It feels structured and practical.
My goal is simple: finish this book by the end of the month and continue moving forward in my ML studies. No overthinking it. Just steady progress.

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