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.