Jupyter Notebook Analysis

This project contains Jupyter notebooks for data analysis. The notebooks cover various topics such as data cleaning, visualization, and statistical modeling.

Requirements

• Python 3.6 or above
• Jupyter Notebook
• Required Libraries: pandas, numpy, matplotlib, seaborn, etc.

Getting Started

1. Clone the repository

git clone https://github.com/username/jupyter-notebook-analysis.git

2. Install the required libraries

pip install -r requirements.txt

3. Launch Jupyter Notebook

jupyter notebook

4. Open the desired notebook and run the code

Note

• Some notebooks may require additional data files which are not included in this repository.
• Be sure to read the markdown cells at the start of each notebook for any additional setup instructions or explanations of the code.

Acknowledgements

• Data source: Kaggle
• Inspiration: Towards Data Science

License

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