Cancer EDA & ML Workflow

This project is part of the project-based courses I completed on CampusX.

The objective is to analyze global cancer patient data (2015–2024) using:

• Exploratory Data Analysis (EDA)
• Statistical techniques
• Basic Machine Learning concepts

The project focuses on understanding data patterns, distributions, correlations, and building foundational ML workflows for learning purposes.

Tools Used

• Python
• Pandas
• Matplotlib / Seaborn
• Scikit-learn

Structure

• eda.ipynb – Data analysis and modeling workflow
• Data/ – Dataset (not included if large)

This project was created for learning