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Phase 2 — Classical ML

May 25, 2026

Read the grokking ML book chapter 8-10

What I Did

Wrote two tutorial articles on my blog

Started the ML from zero series

Revised some of the things I've been learning so far.

What I Learned

Learned about the Gini index as a measure of impurity for decision trees

Gini Index=1p12(1p1)2Gini \ Index = 1 - p_1^2 - (1-p_1)^2

Learned about how CNN is very good for how neural networks sees, RNN, GRU, LSTM for how they talk and GAN for how they paint paintings

Bugs & Blockers

N/A

Concepts That Need More Time

N/A

Tomorrow

Start the course 3 of the Machine Learning Specialization

Wins

Wrote an article on my blog for implementing decision trees from scratch: link

Wrote another article for implementing multilayer neural network from scratch: link