Machine Learning & Artificial Intelligence Repository

Welcome to the Machine_Learning_AI repository!
This repository contains implementations of some of the most important algorithms used in the fields of Artificial Intelligence and Machine Learning.

Repository Overview

• Author: ADVAIT135
• Primary Language: Jupyter Notebook (Python 3)
• License: GNU General Public License v3.0
• Topics:
  artificial-intelligence, machine-learning, machine-learning-algorithms,
  data-science, data-analysis-python, data-analytics,
  numpy, pandas, matplotlib-pyplot, plotly, statistics,
  python3, pandas-dataframe, pandas-python, data

Description

This repository consists of implementations and code samples for a variety of AI and ML algorithms. It aims to provide clear, practical examples for learning and reference purposes, with a focus on Python-based data science workflows.

Contents

• Algorithm implementations (AI & ML)
• Data analysis and visualization notebooks
• Usage of popular libraries: NumPy, Pandas, Matplotlib, Plotly
• Statistical analysis demos

Getting Started

1. Clone the repository:

   git clone https://github.com/ADVAIT135/Machine_Learning_AI.git

2. Install dependencies: Most notebooks use numpy, pandas, matplotlib, and plotly.
   You can install them with:

   pip install numpy pandas matplotlib plotly

3. Open and run notebooks: Open the Jupyter Notebooks in your favorite IDE (e.g., JupyterLab, VSCode) and explore the algorithm implementations.

License

This project is licensed under the GNU GPL v3.0.

Contributing

Pull requests and suggestions are welcome! For major changes, please open an issue first to discuss what you would like to change.

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Explore, learn, and enjoy building intelligent systems!