📐 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.

📚 Table of Contents

• 📋 Introduction
• 📊 Features
• 🛠️ Installation
• 🚀 Usage
• 📬 Contact
• 📜 License

📋 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.

📊 Features

• 📂 Data manipulation using Pandas.
• 📐 Basic mathematical operations using Numpy.
• 📉 Linear algebra, calculus, and statistical operations.
• 🔍 Exploratory data analysis.

🛠️ 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

🚀 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.

📬 Contact

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

📜 License

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

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Happy Learning! 🎓