https://github.com/lu-sketch/machine-learning-models

Some Machine Learning models practised for my Bootcamp
https://github.com/lu-sketch/machine-learning-models

Last synced: about 2 months ago
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Some Machine Learning models practised for my Bootcamp

• Host: GitHub
• URL: https://github.com/lu-sketch/machine-learning-models
• Owner: lu-sketch
• Created: 2022-10-31T11:40:27.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-05-31T19:25:57.000Z (8 months ago)
• Last Synced: 2024-05-31T20:46:30.261Z (8 months ago)
• Language: Jupyter Notebook
• Size: 1.83 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Machine Learning Models

This repository contains various machine learning models that I practiced during my bootcamp. These models cover a range of topics and techniques to enhance my understanding and proficiency in machine learning.

## Source Files

- **Google Colab Directory**: This directory contains Jupyter notebooks and Python scripts for different machine learning projects.

- **Reinforcement Learning**: Implementation of reinforcement learning algorithms for training intelligent agents to interact with environments and learn optimal behaviors.

- **Sentiment Analysis**: Projects focusing on analyzing and understanding sentiments expressed in text data, with applications in natural language processing.

- **PCA Analysis**: Exploratory analysis and implementation of Principal Component Analysis (PCA) for dimensionality reduction and feature extraction.

- **RNN Networks**: Projects involving Recurrent Neural Networks (RNNs) for sequential data analysis, such as time series prediction and text generation.

Feel free to explore the source files and projects to delve deeper into various machine learning concepts and applications. If you have any questions or suggestions, don't hesitate to reach out.  🚀

License

This project is licensed under the terms of the MIT license. See the LICENSE file for details.