AI Python Jupyter Notebook

Welcome to the AI Python Jupyter Notebook! This repository is designed to guide you through building an AI system in phases. In Phase 1, we focus on setting up the environment and utilizing essential libraries like numpy and pandas. Phases 2, 3, and 4 are under construction and will be released in upcoming updates.

Table of Contents

• Installation
• Phase 1: Setup and Data Manipulation
• Other Phases
• How to Use
• Contributing
• License

Installation

Before getting started, make sure you have Python and Jupyter Notebook installed. You'll also need to install numpy and pandas to work through Phase 1.

1. Clone the repository:

git clone https://github.com/Hacker-Anakin/Python-AI.git
cd ai-jupyter-notebook

2. Set up a virtual environment (optional):

python -m venv env
source env/bin/activate  # On Windows: env\Scripts\activate

3. Install required libraries for Phase 1:

pip install numpy pandas jupyter

4. Start Jupyter Notebook:

jupyter notebook

Phase 1: Setup and Data Manipulation

In Phase 1, we will:

• Set up your environment.
• Use numpy for numerical computations.
• Utilize pandas for data manipulation and analysis.

Key Notebooks:

• phase1.ipynb: This notebook covers how to work with data using numpy and pandas. It includes examples for creating arrays, basic mathematical operations, and manipulating datasets with pandas.

Phases 2, 3, 4, 5, 6 and 7

Phases 2, 3, and 4 are currently under development and will include:

• Phase 2: Data Visualization and Basic Statistics (Coming soon)
• Phase 3: Natural Language Processing (NLP) (Coming soon)
• Phase 4: Web Scraping (Coming soon)
• Phase 5: Time Series Analysis (Coming soon)
• Phase 6: Deep Learning (Coming soon)
• Phase 7: Building and Deploying AI Models (Coming soon)

Stay tuned for updates!

How to Use

1. After installation, open Jupyter Notebook:

   jupyter notebook

2. In the Jupyter interface, navigate to phase1_data_manipulation.ipynb to start working through Phase 1.
3. Follow the instructions inside the notebook to complete exercises on data manipulation with numpy and pandas.

Contributing

Contributions are welcome! If you'd like to help build Phases 2, 3, and 4 or suggest improvements for Phase 1, feel free to open an issue or submit a pull request.

License

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

Contact

For any questions or feedback, please contact us at cakely63@gmail.com.

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Thank you for visiting the AI Python repository! We hope you enjoy exploring and interacting with our project.