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Implementation of common Machine Learning algorithms and Neural Networks on a variety of datasets and use cases using Scikit-Learn, TensorFlow and PyTorch.

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Machine Learning Algorithms

License: MIT GitHub repo size Open Source contributors

Implementation of common Machine Learning algorithms and Neural Networks on a variety of datasets and use cases using Scikit-Learn, TensorFlow and PyTorch.

Table of contents

Build Status

Build Status

Built With

Features

  • Supervised Learning
  • Unsupervised Learning
  • Neural Networks
  • Reinforcement Learning
  • Recommender Systems
  • Natural Language Processing
  • Hyperparameter Tuning

Code Example

# Converting a tf.Keras model to a TensorFlow Lite model.
converter = lite.TFLiteConverter.from_keras_model(model)
tflite_model = converter.convert()

Prerequisites

What things you need to install the software and how to install them

  • python 3

Linux:

sudo apt-get install python3.6

Windows:

Download from python.org

Mac OS:

brew install python3
  • pip

Linux and Mac OS:

pip install -U pip

Windows:

python -m pip install -U pip

Installation

Clone this repository:

git clone https://github.com/SpencerOfwiti/machine-learning-algorithms

To set up virtual environment and install dependencies:

source setup.sh

To run python scripts:

# Convert model to TensorFlow lite
python3 Neural\ Networks/tflite_converter.py

Contributions

To contribute, follow these steps:

  1. Fork this repository.
  2. Create a branch: git checkout -b <branch_name>.
  3. Make your changes and commit them: git commit -m '<commit_message>'
  4. Push to the original branch: git push origin <project_name>/<location>
  5. Create the pull request.

Alternatively see the GitHub documentation on creating a pull request.

Bug / Feature Request

If you find a bug (the website couldn't handle the query and / or gave undesired results), kindly open an issue here by including your search query and the expected result.

If you'd like to request a new function, feel free to do so by opening an issue here. Please include sample queries and their corresponding results.

Authors

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See also the list of contributors who participated in this project.

License

This project is licensed under the MIT license - see the LICENSE.md file for details

Acknowledgments

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Implementation of common Machine Learning algorithms and Neural Networks on a variety of datasets and use cases using Scikit-Learn, TensorFlow and PyTorch.

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