https://github.com/theamnabb/my-ai-brain
A complete, structured AI learning journey from scratch to advanced. Includes daily logs, mini projects, roadmaps, and useful resources for Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI.
https://github.com/theamnabb/my-ai-brain
matplotlib numpy pandas pyhton3
Last synced: about 1 month ago
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A complete, structured AI learning journey from scratch to advanced. Includes daily logs, mini projects, roadmaps, and useful resources for Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI.
- Host: GitHub
- URL: https://github.com/theamnabb/my-ai-brain
- Owner: theamnabb
- Created: 2025-08-01T09:22:50.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2025-08-22T17:42:39.000Z (about 1 month ago)
- Last Synced: 2025-08-22T20:00:55.534Z (about 1 month ago)
- Topics: matplotlib, numpy, pandas, pyhton3
- Language: Jupyter Notebook
- Homepage:
- Size: 6.09 MB
- Stars: 0
- Watchers: 0
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.MD
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README
# AI Learning
# [**Phase 1: AI Fundamentals (Theory & Real-World View)**](./01_Phase01_AI/)
### Key Concepts:
- What is AI, Machine Learning (ML), Deep Learning (DL)
- Types of AI:
- Narrow AI (used today — ChatGPT, Siri)
- General AI (still developing — human-level intelligence)
- Real-world examples (chatbots, self-driving cars, YouTube recommendations)
- Terms like datasets, models, training, prediction, etc.
# [**Phase 2: Python Programming for AI**](./02_Pyhton_Libraries/)
🎯 Objective: Learn [Python](https://github.com/theamnabb/Python) basics with AI libraries.
### Key Topics:
- Variables, Data types, Loops, Conditionals, Functions
- Lists, Dictionaries, Tuples
- File Handling, Exception Handling
### Intro to:
- [NumPy (math with arrays)](./02_Pyhton_Libraries/02_Numpy/)
- [Pandas (data tables)](./02_Pyhton_Libraries/03_Pandas/)
- Matplotlib (graphs)