This repository contains the final project completed as part of the IBM Data Science Program. The project consists of multiple notebooks, each representing a different part of the methodology.
The project is structured into nine parts, covering different aspects of the methodology used for analysis. Each notebook corresponds to a specific part of the project, contributing to the overall analysis and final outcomes.
The project structure aligns with the methodology followed, with each part contributing to the overall analysis and conclusions. Each notebook contains detailed explanations, code, and results pertinent to that specific part.
- Python 3
- Required libraries: Pandas, NumPy, Matplotlib, Scikit-learn, etc. (Specify any additional dependencies)
To explore a specific part of the project, open the corresponding notebook using Jupyter Notebook or JupyterLab.
git clone https://github.com/your_username/IBM-Data-Science-FinalProject.git
cd IBM-Data-Science-FinalProject
jupyter notebook PartX_FileName.ipynb