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My Personal Journey learning concepts of ML from Data Analysis to model building

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Machine Learning Models

This repository contains a collection of machine learning models implemented in Python using various libraries such as scikit-learn, TensorFlow, and PyTorch. These models can be used as a starting point for your machine learning projects or as a reference for implementing machine learning algorithms.

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Getting Started

Installation

To use the machine learning models in this repository, you need to have Python 3.x installed on your system. Clone this repository and install the required libraries using pip.

git clone https://github.com/your_username/machine-learning-models.git
cd machine-learning-models
pip install -r requirements.txt

Contributing

Contributions are always welcome! If you would like to contribute to this repository, please follow these steps:

  1. Fork the repository
  2. Create a new branch (git checkout -b feature/new-feature)
  3. Make the changes and commit them (git commit -am 'Add new feature')
  4. Push to the branch (git push origin feature/new-feature)
  5. Create a new pull request

Authors

License

This project is licensed under the CC0 1.0 Universal Creative Commons License - see the LICENSE.md file for details

Acknowledgments

  • Daniel Bourke mrdbourke For his In-depth training on the building blocks of ML and Tensorflow

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My Personal Journey learning concepts of ML from Data Analysis to model building

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