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ML Algorithms Notebook

This repository contains Jupyter notebooks covering various Machine Learning algorithms, including implementations, explanations, and examples.

📌 Features

  • Step-by-step implementations of ML algorithms

  • Detailed explanations with code

  • Examples and use cases

📂 Contents

  • Supervised Learning

  • Linear Regression

  • Logistic Regression

  • Decision Trees

  • Support Vector Machines (SVM)

  • Unsupervised Learning

  • K-Means Clustering

  • Principal Component Analysis (PCA)

  • Deep Learning (Coming Soon!)

🔧 Installation

Clone the repository and install dependencies:

git clone https://github.com/Poushali-02/ML-Algorithms-notebook.git
cd ML-Algorithms-notebook

🚀 Usage

jupyter notebook

Open the notebooks and explore the algorithms!

🤝 Contributing

Feel free to fork the repo and contribute by adding more ML algorithms or improving existing ones.