https://github.com/ianisdev/final_ms_ai_data_analytics
Data analytics for AI Final Project Amazon Stock Market Data Analysis
https://github.com/ianisdev/final_ms_ai_data_analytics
juypter-notebook numpy pandas python sklearn
Last synced: about 1 month ago
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Data analytics for AI Final Project Amazon Stock Market Data Analysis
- Host: GitHub
- URL: https://github.com/ianisdev/final_ms_ai_data_analytics
- Owner: iAnisdev
- License: mit
- Created: 2024-12-08T22:06:12.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-11T18:17:32.000Z (about 1 year ago)
- Last Synced: 2025-02-10T06:32:46.040Z (12 months ago)
- Topics: juypter-notebook, numpy, pandas, python, sklearn
- Language: Jupyter Notebook
- Homepage:
- Size: 249 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Data Analytics for AI - Final Project
- [Github Repo](https://github.com/iAnisdev/final_ms_ai_data_analytics)
## Prerequisites
- **Python Version**: Python 3.12.4
## Installation
1. Clone or download the repository to your local machine.
2. Install dependencies using the `requirements.txt` file:
```bash
pip install -r requirements.txt
```
## Dataset
The dataset used in this project is the [Amazon Stock Market Data (2015-2024) 📈](https://www.kaggle.com/datasets/itzusama/amazon-stock-market-data-2015-2024) from Kaggle. The dataset contains 2498 rows the following columns:
- Date
- Open
- High
- Low
- Close
- Adj Close
- Volume
- Price
## Running the Notebook
1. Launch the Jupyter Notebook server:
```bash
jupyter notebook
```
2. Open the notebook file (index.ipynb) in your browser or IDE.
3. Run the cells sequentially to execute the code.
## License
This project is licensed under the MIT License. See the `LICENSE` file for details.