Phase 1 — Python & Math
May 5, 2026
Continue Mathematics for ML(Probability and Statistics) and start Grokking Machine Learning
What I Did
Implemented Naive Bayes from scratch
Read chapter 1 and 2 of Grokking Machine Learning
What I Learned
Learned about expected value, variance, standard deviation, skewness and kurtosis
Learned about real use of Probability and Statistics in Classification problems
Bugs & Blockers
N/A
Concepts That Need More Time
N/A
Tomorrow
Continue week 2 of the Mathematics for ML(Probability and Statistics)
Read chapter 3 and maybe chapter 4 of Grokking Machine Learning
Wins
Implemented Naive Bayes from scratch
Started reading Grokking Machine Learning by Luis Serrano, read the first two chapters(part of LFC reading group objectives)