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

Best Practices

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