Phase 1 — Python & Math
April 27, 2026
Continue learning Mathematics for ML and Python crash course
What I Did
Completed week 3 of the linear algebra part in Mathematics for ML
Implemented a Neural Network with numpy and trained it to work on a set of data and predict outcomes
What I Learned
Learned about Vectors and Linear Transformations
Learned how a Neural Network is a large collection of linear models
Watched 3Blue1Brown video on machine learning(eye opening man...)
Learned about cost function, activation function, perceptron(things are starting to get real interesting...)
Bugs & Blockers
None
Concepts That Need More Time
N/A
Tomorrow
Complete week 4 of the Mathematics for ML(Linear Algebra)
Continue reading my Python crash course book(I only need to do the project part)
Found a new book called Think Python which I might try to explore and see things I can learn from there
Wins
Implemented a simple Neural Network
I started reading the book named Deep Work by Cal Newport and I'm already past page 25 on the first day