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Data Science Projects

Overview

Welcome to my Data Science repository! This repository is a comprehensive collection of projects that showcase various techniques and applications in data science, including machine learning and deep learning. Each project is designed to address specific real-world problems using advanced analytical and predictive modeling techniques.

Repository Structure

The repository is organized into two main categories: Machine Learning and Deep Learning. Within each of these categories, you will find projects further divided into subcategories based on the application area, such as Computer Vision, Natural Language Processing (NLP), Time Series Analysis, and Predictive Modeling (e.g., regression).

Main Categories

Machine Learning

  • Computer Vision
  • Natural Language Processing (NLP)
  • Time Series Analysis
  • Predictive Modeling (Regression, Classification)

Deep Learning

  • Computer Vision
  • Natural Language Processing (NLP)
  • Time Series Analysis
  • Predictive Modeling (Regression, Classification)

How to Navigate

Each project directory contains:

  • README.md: Detailed documentation about the project, including its objective, dataset description, methodology, and how to run the code.
  • Source Code: The main codebase for the project.
  • Datasets: Links or references to the datasets used in the projects.
  • Results: Outputs and results from the model, including visualizations and performance metrics.

Contributing

Contributions are welcome! If you have suggestions or improvements, feel free to open an issue or submit a pull request.

License

This repository is licensed under the MIT License. See the LICENSE file for more details.

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