Hey, I’m Kerie (aka Cyker22) 👋
This repo is my open diary as I teach myself Python, NumPy, and eventually machine learning. It’s not about perfection — it’s about progress, experiments, and documenting the grind.
- Week 1 – Basics: Arrays, properties, slicing
- Week 2 – Advanced Arrays: Reshaping, broadcasting, stacking
- Week 3 – Math with Arrays: Element‑wise ops, dot product, matrix math
- Week 4 – Stats & Probability: Mean, std, random numbers, distributions
- Week 5 – Linear Algebra: Solving equations, eigenvalues, determinants
- Week 6 – Data Handling: Loading CSVs, cleaning, preprocessing
- Week 7 – ML Foundations: Gradients, cost functions, linear regression
- Future Weeks: Pandas, Matplotlib, Scikit‑learn, TensorFlow/PyTorch
I’m documenting my self‑learning journey into ML.
Right now it’s NumPy + math, but the plan is to level up into full ML workflows.
This repo is my growth tracker — showing how I go from arrays → models → deep learning.
🛠️ How to Run Clone it, install the basics, and run: bash pip install numpy pandas python main.py