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https://github.com/hacker-anakin/python-ai
This AI Python Jupyter Notebook project guides users through setting up, data manipulation with numpy/pandas, and upcoming advanced AI phases.
https://github.com/hacker-anakin/python-ai
ai jupyter jupyter-notebook numpy python pythonai
Last synced: 9 days ago
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This AI Python Jupyter Notebook project guides users through setting up, data manipulation with numpy/pandas, and upcoming advanced AI phases.
- Host: GitHub
- URL: https://github.com/hacker-anakin/python-ai
- Owner: Hacker-Anakin
- Created: 2024-09-27T15:15:18.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-11-05T07:39:29.000Z (about 2 months ago)
- Last Synced: 2024-12-22T04:24:04.844Z (9 days ago)
- Topics: ai, jupyter, jupyter-notebook, numpy, python, pythonai
- Language: Jupyter Notebook
- Homepage:
- Size: 49.8 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 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](#installation)
- [Phase 1: Setup and Data Manipulation](#phase-1-setup-and-data-manipulation)
- [Other Phases](#Phases-2,-3,-4,-5,-6-and-7)
- [How to Use](#how-to-use)
- [Contributing](#contributing)
- [License](#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:
```bash
git clone https://github.com/Hacker-Anakin/Python-AI.git
cd ai-jupyter-notebook
```
### 2. Set up a virtual environment (optional):
```bash
python -m venv env
source env/bin/activate # On Windows: env\Scripts\activate
```
### 3. Install required libraries for Phase 1:
```bash
pip install numpy pandas jupyter
```
### 4. Start Jupyter Notebook:
```bash
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:
```bash
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](LICENSE) file for more details.
## Contact
For any questions or feedback, please contact us at [[email protected]](mailto:[email protected]).
---
Thank you for visiting the AI Python repository! We hope you enjoy exploring and interacting with our project.