AI & Machine Learning : Cancer Cell Prediction

Develop and implement a machine learning model to detect the presence of cancer cells using synthetic patient data. This process includes data preprocessing, feature selection, model training, and performance evaluation to ensure accuracy and reliability. The project will explore various machine learning techniques, such as deep learning or traditional algorithms, to analyze medical datasets effectively.

Additionally, efforts will be made to optimize the model for interpretability, scalability, and real-world applicability in medical diagnostics. Key considerations will include ethical implications, data privacy, and bias mitigation to ensure responsible AI development.