Machine-learning-with-Scikit-learn

This is a practical example of machine learning on cancer cells physical attributes (e.g., shape, area, etc) rather than genomic attributes to predict the breast cancer either benign (not aggressive) or malignant (more aggressive and easily disseminate to distant organs).

For this project, I used Jupyter notebook,

• Pandas for data cleaning and processing
• Seaborn for visualizations
• Scikit-learn for support vector machine model prediction.

Data

The data available at UCI machine learning repository.