AIML Learning Repo

Learning AI/ML step by step, starting with Python.

Overview

• Python fundamentals
• Data handling and visualization
• Machine learning
• Deep learning
• GenAI and AI engineering tools
• Supporting tools and workflows

Roadmap

1. Python basics: variables, operators, control flow, functions, lambdas
2. Core data structures: list, tuple, dictionary, set
3. File handling and JSON
4. Object-oriented programming
5. Data collection, preprocessing, and visualization
6. NumPy, pandas, matplotlib, seaborn
7. Machine learning concepts and algorithms
8. Mathematics and statistics for AI
9. Deep learning: neural networks, CNNs, RNNs, LSTM, transformers
10. PyTorch and model comparison
11. GenAI, NLP, RAG, and agents
12. AI engineering: Flask, SQL, Git, GitHub, Docker, Kubernetes
13. Projects across different domains

"Be yourself; everyone else is already taken." - Oscar Wilde