📊 Regression and Classification Models in Python

This repository contains foundational implementations of various machine learning algorithms using Python and libraries like scikit-learn, numpy, and matplotlib. Great for beginners looking to understand the basics of regression and classification techniques.

📁 Project Structure

├── DescionTree/             # Decision Tree Classification
├── LogisticRegression.py    # Logistic Regression (binary classification)
├── MultiLinearRegression/   # Multiple Linear Regression
├── PolynomialRegression/    # Polynomial Regression
├── SimpleLinearRegression/  # Simple Linear Regression
└── Linear_Regression.py     # Another standalone implementation of Linear Regression

🧠 Algorithms Covered

• Simple Linear Regression
• Multiple Linear Regression
• Polynomial Regression
• Logistic Regression
• Decision Tree Classification

🛠️ Technologies Used

• Python
• NumPy
• Matplotlib
• scikit-learn

🚀 How to Run

1. Clone this repo:

   git clone https://github.com/Mueez-lab/linear-regression-for-understanding
   cd linear-regression-for-understanding

2. Run any .py file or Jupyter notebook to see results:

   python LogisticRegression.py

📌 Topics

machine-learning regression classification scikit-learn python data-science supervised-learning

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