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Machine Learning Case Studies using Classical Machine Learning and Deep Learning Algorithms, Various Projects from multiple domains of Machine Learning.

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Machine Learning Case Studies

Overview

This repository is a compilation of various projects demonstrating the application of classical machine learning and deep learning algorithms across multiple domains.

Contents

  • Each project is contained in a Jupyter Notebook, offering practical insights into different machine-learning techniques.
  • Topics include sentiment analysis, news classification, house price prediction, digit classification, etc.

Getting Started

  • Explore the Jupyter Notebooks to understand the implementation and results of each case study.

Contribution

Contributions to extend or improve the case studies are welcome.

License

This project is licensed under the MIT License.

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Machine Learning Case Studies using Classical Machine Learning and Deep Learning Algorithms, Various Projects from multiple domains of Machine Learning.

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