Update This will be converted into a longer form book DS Principles & Resources - Igor V using Quarto Books & NBDev.
Go there for a deeper undersanding. This is a collection of my own scripts for my own benefit
| DS Definition | Pipeline | AI Hierarchy of Needs |
|---|---|---|
 |
 |
 |
We live in the precipice of a golden age of education:
One can create open wiki books with bookdown(gallery) or jupyter_book (gallery). Remember to make a contribution to authors
Fundamentals:
- Mathematics & Statistics
- Software Engineering
- Domain Knowledge
- Pipeline
- Import
- Tidy
- Transform
- Visualize
- Model
- Communicate
Sub-Topics:
- Bayesian Statistics
- Optimization
- Time Series
- NLP
- Reinforcement Learning
- Deep Learning
- Image
- Generative Models
- Simulation
- Survival Models
- meta_analysis
- causal
- llms
- Misc
Other Repositories that do this better:
- data-science-topics & github - Khuyen Tran
- applied-ml github & applied-ml website papers - Eugene Yan
- CS 329S: Machine Learning Systems Design - Very hit or miss with random guest lecturers