Phase 2 — Classical ML
May 14, 2026
Continue Machine Learning Specialization(Supervised Learning) and continue Grokking Machine Learning
What I Did
Finished week 2 of the supervised learning course
Explored supervised machine learning in detail(mostly regression)
Read the chapter 5 of the grokking ML book
What I Learned
Learned about regression with multiple input variables
Learned about vectorization and how it helps to speed up computation
Learned about feature scaling and normalization
Learned about checking for gradient descent convergence and how to choose a good learning rate
Learned about feature engineering and its connection to polynomial regressio
Bugs & Blockers
N/A
Concepts That Need More Time
N/A
Tomorrow
Start the week 3 of the supervised learning course which focuses on classification problems
Continue chapter 5 of the grokking ML book
Wins
Met all my Coursera learning goals