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🚀 ML-Mastery: Master Machine Learning from Scratch to Deployment


📌 What is ML-Craft?

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

📁 Repository Structure

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
└── LICENSE
graph 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]
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A beginner-to-advanced guide covering core ML concepts, algorithms, model evaluation, and real-world projects using scikit-learn and Python.

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