Phase 1 — Python & Math
April 19, 2026
Start my mathematics for ML course from Coursera and continue the read a couple chapters from Python crash course
What I Did
- Read the first four chapters of Python crash course
- Found out about a new course from Google deepmind for ML: https://www.skills.google/paths/3135
- Finished week one lectures of Mathematics for ML from coursera
What I Learned
- Learned about python basics such as variables, lists and loops
- Learned about Numpy and a bit of MatPlotLib, learned the basics of Numpy and how to use it to perform matrices operations and how to use it to solve systems of linear equations and finding determinant of a matrix
- Learned about linear equations, matrices, linear dependence, singularity, determinant and solving linear equations
Bugs & Blockers
- None
Concepts That Need More Time
- Would definitely need to spend more time learning more about Numpy and all different use cases of it
Tomorrow
- Continue with week 2 of my Mathematics for ML course
- Continue reading my Python crash course book
Wins
- Played with Python
- Played with Numpy and did cool things like solving equations with it