ML-Craft is a one-stop, beginner-to-advanced Machine Learning repository that teaches you all essential concepts—from data preprocessing to model deployment. It’s built to help:
- 🧑🎓 Beginners understand core ML techniques
ML-Craft/
│
├── README.md # Project Overview
├── 00_Basics/ # Python, NumPy, Pandas, Math & Stats
├── 01_Preprocessing / # Missing values, encoding, scaling
├── 02_Supervised_Learning/ # Regression, Classification algorithms
├── 03_Unsupervised_Learning/ # Clustering, Dimensionality Reduction
├── 04_Model_Selection_Tuning/ # Cross-validation, Grid/Random Search
├── 05_Project_Templates/ # Clean project structures
├── 06_Real_World_Projects/ # End-to-end case studies
├── 07_Deployment/ # Flask, Streamlit, FastAPI, CI/CD
├── 08_Resources/ # Books, Blogs, Cheat Sheets
└── LICENSEgraph TD
A[Start: Basics] --> B[Preprocessing]
B --> C[Supervised Learning]
C --> D[Unsupervised Learning]
D --> E[Model Selection]
E --> F[Real-World Projects]
F --> G[Deployment]