ML-tutorial
Hello This is a tutorial of Machine Learning in Python By Nabeel Ali Khan
ML Tutorial
Welcome to the ML Tutorial repository! This repository contains resources, code, and explanations to help you learn Machine Learning (ML) using Python.
📌 Features
✅ Introduction to Machine Learning ✅ Hands-on Python implementations ✅ Step-by-step explanations ✅ Various ML algorithms with examples ✅ Jupyter notebooks for easy learning
📂 Folder Structure
📦 ML-tutorial
│── 📁 datasets/ # Sample datasets for practice
│── 📁 notebooks/ # Jupyter notebooks with code and explanations
│── 📁 models/ # Trained ML models (if any)
│── 📄 requirements.txt # Dependencies for the project
│── 📄 README.md # Project documentation
🚀 Getting Started
1️⃣ Clone the Repository
git clone https://github.com/nabeel03103n/ML-tutorial.git
cd ML-tutorial
2️⃣ Install Dependencies
pip install -r requirements.txt
3️⃣ Run Jupyter Notebook
jupyter notebook
Open the .ipynb files in the notebooks/ directory and start learning!
📚 Topics Covered
🔹 Introduction to ML 🔹 Data Preprocessing 🔹 Supervised Learning (Regression & Classification) 🔹 Unsupervised Learning (Clustering) 🔹 Feature Engineering 🔹 Model Evaluation & Optimization 🔹 Neural Networks (Basic Overview)
🤝 Contributing
Feel free to contribute by adding new notebooks, improving explanations, or fixing issues. Fork the repo and submit a pull request!
📧 Contact
For any queries, reach out to Nabeel Ali Khan: 📩 Email: nabeel.ali.private@gmail.com 📷 Instagram: nabeelalikhan_