🤖 Machine Learning Models Repository

Welcome to the Machine Learning Models Repository! This repository contains implementations of various machine learning models, each written in Python. It is designed as a collection of ready-to-use models for learning, experimentation, and real-world applications.

📖 Repository Overview

This repository includes implementations of various machine learning models, categorized into:

• Supervised Learning
• Unsupervised Learning
• Deep Learning

Each model file contains:

• Code for preprocessing, training, and evaluation.
• Comments explaining each step for ease of understanding.
• Example datasets (where applicable) for quick experimentation.

🛠️ Tools and Technologies Used

Programming Language: Python

Libraries:

• numpy and pandas for data manipulation.
• scikit-learn for machine learning algorithms and utilities.
• matplotlib and seaborn for data visualization.
• tensorflow or pytorch for deep learning models.