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