For this final project, I worked on applying machine learning techniques to classify masses found in mammograms as either benign or malignant. I started by unzipping the provided project files and opening the FinalProject-SkillShare.ipynb notebook, where I followed the challenge instructions and implemented the classification models covered throughout the course.

Using the dataset provided, I explored and applied multiple machine learning classification techniques, trained the models, and evaluated their performance by comparing accuracy and results across different approaches. This allowed me to better understand how each algorithm behaves on real-world medical data and how small changes in modeling choices can impact performance.

This project helped me consolidate everything I learned in the class by applying it to a practical, real-world problem. After completing my work, I reviewed the solution notebook to compare approaches and results, which gave me valuable insights into model optimization and best practices for classification tasks.