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This repository contains a collection of lab assignments, projects, and experiments related to the Machine Learning and Data Analysis course.

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ML and Data Analysis Labs

Welcome to my ML and Data Analysis Labs repository! This repository contains a collection of lab assignments, projects, and experiments related to machine learning and data analysis during coursework. Here, you'll find a variety of resources, including Jupyter notebooks, datasets, and code scripts, showcasing different techniques and methodologies used in the field of data science.

Contents

  • Machine Learning algorithms implementations
  • Data Analysis and Exploration notebooks
  • Visualizations and results from various experiments

Getting Started

  1. Clone the repository:

    git clone https://github.com/Hamza-cpp/ML_and_Data_Analysis_labs.git
  2. Navigate to the project directory:

    cd ML_and_Data_Analysis_labs
  3. Install the required dependencies:

    pip install -r requirements.txt
  4. Explore the labs and projects in the respective directories.

Contributing

Contributions are welcome! If you have any suggestions, improvements, or new ideas, 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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This repository contains a collection of lab assignments, projects, and experiments related to the Machine Learning and Data Analysis course.

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