Welcome to the Machine Learning Algorithms Repository! 🚀

Hey there! Welcome to this collection of Machine Learning algorithms in Python. Whether you’re just starting your ML journey or looking to refine your skills, this repo has got you covered. It’s structured to be super beginner-friendly, and all the code follows best practices. 💡

📚 What's Inside?

1. Supervised Learning

• Linear Regression: Predict continuous values.
• Logistic Regression: Classification model for binary/multiclass problems.
• Decision Tree: Build decision trees for classification & regression.
• Random Forest: Enhance decision trees with ensemble learning.
• SVM (Support Vector Machine): Find the best separating hyperplane.
• KNN (K-Nearest Neighbors): Classify based on the majority vote of neighbors.
• Naive Bayes: A simple but effective probabilistic classifier.

2. Unsupervised Learning

• K-Means Clustering: Group similar data into K clusters.
• Hierarchical Clustering: Build a tree of clusters.
• PCA (Principal Component Analysis): Reduce dimensions of data.
• DBSCAN: Density-based clustering algorithm.

3. Reinforcement Learning

• Q-Learning: A model-free reinforcement learning technique.
• Deep Q-Network (DQN): Combine deep learning with Q-learning.

🔧 How to Get Started

If you want to dive right in, here’s how you can get up and running:

1. Clone the repo:

   git clone https://github.com/your-username/ml-algorithms.git
   cd ml-algorithms

2. Install dependencies:
   Make sure you have Python 3.8+ installed and then run:

   pip install -r requirements.txt

3. Pick an algorithm:
   Find an algorithm that piques your interest and run it! For example, to run linear regression:

   python supervised/linear_regression.py

That’s it! The code is ready for you to explore and experiment with.

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🧑‍💻 Contributing

Got a cool idea or found a bug? Contributions are always welcome! Here’s how to help:

1. Fork this repo.
2. Create a new branch (git checkout -b your-feature-name).
3. Commit your changes (git commit -m 'Add new feature').
4. Push your branch and create a PR.

Let’s make this repo better together! 😊

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📜 License

This project is licensed under the Apache License - check the LICENSE file for more details.

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🔄 Updates Every Week!

This repository is updated every week with new algorithms and improvements. So if you’re looking to learn something new every time you check back, you're in the right place! Don’t forget to hit the star button if you find it useful!

Installation

Python 3.11. https://www.python.org/

Jupiter Notebook version 7.0.0. https://code.visualstudio.com/

Vs Code Editor version 1.75 https://jupyter.org/

Contributing

Contributions are always welcome!

See readme.md for ways to get started.

Please adhere to this project's code of conduct.