I'm learning Machine Learning and Data Science from scratch, one concept at a time. This repo is my second brain — everything I study, practice, and build lives here.
This folder contains three levels of Python projects I am currently building while learning
00-Python/
├── Beginner-Projects/
├── Intermediate-Projects/
└── Advance-Projects/
Resources:
Practice:
- Follow the path — Beginner → Intermediate → Advance
- DSA in Python
- Interview questions on HackerRank
💡 Note: Learn and build projects side by side — do not waste time finding the perfect resource.
This folder contains my notes and projects related to essential tools, concepts, and technologies used in Data Science, Machine Learning, and AI. It includes both learning material and practical implementations for required topics.
02-Software-Essentials/
├── Git-and-GitHub/
├── Virtual-Environment & UV-in-Python/
├── LinuxUnix Shell Commands/
├── FastAPI/
└── Docker/
Resources:
-
Git and GitHub: YouTube
-
Virtual Environment: YouTube
-
UV in Python: YouTube - UV Official Docs
-
What is API & FastAPI: YouTube — FastAPI Full Course - YouTube — What is API? - FastAPI Official Docs - Youtube - How To Use API
-
Docker: YouTube
Practice:
- Build Projects
💡 Note: Master these tools before jumping into ML — they will save you hours of debugging and make your workflow 10x faster.