Machine Learning GitHub Repository

🤖 Welcome to our Machine Learning Repository! 🚀

This repository is a collection of projects and resources focused on machine learning techniques including neural networks, principal component analysis (PCA), logistic multiclass classification, and more!

📁 Project Structure:

• neural_network: Contains implementations and examples of neural network models.
• kmeans: Implements algorithms related to K centroid based clustering.
• pca: Includes scripts and notebooks demonstrating the application of PCA (Principal Component Analysis).
• logistic_multiclass_classification: Code and notebooks for logistic multiclass classification tasks.

💻 Getting Started

Ready to embark on your adventure? Follow these steps:

1. Clone this Repository:

   git clone https://github.com/poorani-muthu/Machine-Learning-models/Multiclass classification.git
   

2. Navigate to the Project Directory:

   cd multiclass-classification
   

3. Install Dependencies:

   pip install -r requirements.txt
   

4. Launch the Jupyter Notebook:

   jupyter notebook multiclass_classification.ipynb
   

5. Explore, Experiment, and Enjoy!

📚 Resources:

• Neural Network Tutorial
• PCA Basics
• Multiclass Classification using Logistic Regression
• Linear Regression
• Regularization

🚀 Contributing:

Contributions are welcome! If you have improvements or additional examples, feel free to fork this repository and submit a pull request.

📝 License:

This repository is licensed under the MIT License. See the LICENSE file for details.

📧 Contact:

For any questions or suggestions, feel free to reach out to me at rsmpoorani@gmail.com.

Happy coding and exploring the world of machine learning! 🌟