Phase 1 — Python & Math
May 7, 2026
Continue Mathematics for ML(Probability and Statistics) and continue Grokking Machine Learning
What I Did
Confidence intervals and Hypothesis testing
Read chapter 4 of Grokking Machine Learning
What I Learned
Learned about Confidence Intervals and Margin of Error
Learned about Hypothesis Testing and its ML application in A/B Testing
Learned about underfitting and overfitting and methods to solve these problems such as by testing, using complexity graph and using regularization
Bugs & Blockers
N/A
Concepts That Need More Time
N/A
Tomorrow
Take tomorrow to revise everything learned in the Mathematics for Machine Learning and Data Science Specialization
Do chapter 4 of Grokking ML assignment and fill up the algorithm folder with implementations I know so far.
Wins
Completed the Mathematics for ML(Probability and Statistics) Completed the Mathematics for Machine Learning and Data Science Specialization
Probability and Statistics Notes: Probably and Statistics Notes.pdf