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This Project is basically a general overview of basic math that we used indeep learning concept and in many machine learning projects.

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πŸ“ Math Fundamentals with Pandas & Numpy

Welcome to the Math Fundamentals project! This project provides a general overview of basic mathematics used in deep learning and many machine learning projects. The project is implemented in a Jupyter Notebook named Math Fundamental(Pandas & Numpy ).ipynb.

πŸ“š Table of Contents

πŸ“‹ Introduction

This project covers essential mathematical concepts and operations using the Pandas and Numpy libraries. It aims to provide a solid foundation in mathematics, which is crucial for understanding deep learning and machine learning algorithms.

πŸ“Š Features

  • πŸ“‚ Data manipulation using Pandas.
  • πŸ“ Basic mathematical operations using Numpy.
  • πŸ“‰ Linear algebra, calculus, and statistical operations.
  • πŸ” Exploratory data analysis.

πŸ› οΈ Installation

To get started with the Math Fundamentals project, follow these steps:

  1. Clone the repository:

    git clone https://github.com/syed-muqtasid-ali/math-fundamentals.git
  2. Navigate to the project directory:

    cd math-fundamentals
  3. Install the required dependencies:

    pip install -r requirements.txt

πŸš€ Usage

  1. Ensure you have the necessary dependencies installed (see Installation section).

  2. Open the Jupyter Notebook:

    jupyter notebook "Math Fundamental(Pandas & Numpy ).ipynb"
  3. Follow the instructions within the notebook to perform various mathematical operations and data manipulations.

πŸ“¬ Contact

For any questions or inquiries, please feel free to contact me via LinkedIn:

LinkedIn Email

πŸ“œ License

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


Happy Learning! πŸŽ“

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This Project is basically a general overview of basic math that we used indeep learning concept and in many machine learning projects.

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