Predicting breast cancer survival using machine learning models

In this project, we aim to predict the survival of breast cancer patients using machine learning models. We will use clinical data, gene expression data, and gene mutation data to predict the survival of breast cancer patients. We will use deep learning models and traditional machine learning models to predict the survival of breast cancer patients. We will compare the performance of different machine learning models in predicting the survival of breast cancer patients.

We also use different algorithms like PCA, MDS, and t-SNE to reduce the dimensionality of the data and visualize the data in 2D and 3D space.

Data

• Clinical
• Gene expression
• Gene mutation

Machine Learning Models

• Deep Learning (NN)
• KNN
• SVM-linear
• SVM-RBF
• Decision Tree
• Random Forest
• Linear Regression
• Decision Tree Regressor
• Random Forest Regressor
• Logistic Regression

The results and analysis of the project can be found in the end of the notebook.