https://github.com/metriccoders/metriccoders_notebooks

This is the Metric Coders repository containing all the notebooks for machine learning.
https://github.com/metriccoders/metriccoders_notebooks

artificial-intelligence genai keras llm machine-learning natural-language-processing pytorch scikit-learn tensorflow

Last synced: 22 days ago
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This is the Metric Coders repository containing all the notebooks for machine learning.

• Host: GitHub
• URL: https://github.com/metriccoders/metriccoders_notebooks
• Owner: metriccoders
• License: mit
• Created: 2024-01-11T07:15:55.000Z (12 months ago)
• Default Branch: master
• Last Pushed: 2024-08-26T12:43:01.000Z (4 months ago)
• Last Synced: 2024-12-02T08:46:37.071Z (27 days ago)
• Topics: artificial-intelligence, genai, keras, llm, machine-learning, natural-language-processing, pytorch, scikit-learn, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 1.77 MB
• Stars: 2
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE.md

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README

        
# Metric Coders Notebooks

## Description

This repository contains Python notebooks and programs focused on Machine Learning, Natural Language Processing and Artificial Intelligence. It is designed to provide hands-on experience and demonstrate the practical applications of various Machine Learning algorithms.

## Table of Contents

1. [Installation](#installation)

2. [Contributing](#contributing)

3. [License](#license)

## Installation

To run these notebooks and python programs, you need to have Python and some libraries installed on your machine. Here's how you can do it:

```bash

# Clone the repository

git clone https://github.com/metriccoders/metriccoders_notebooks.git

# Go into the repository

cd metriccoders_notebooks

```

## Contributing

We welcome contributions! Please see the [contributing guide](CONTRIBUTING.md) for more details.

## License

This project is licensed under the terms of the MIT license. See the [LICENSE](LICENSE.md) file for details.