Simple tutorial on Machine Learning with Scikit-Learn. The goal is to get basic understanding of various techniques.
I use the "Wisconsin Breast Cancer" which is a default, preprocessed and cleaned datasets comes with scikit-learn. The target is to classify tumor as 'malignant' or 'benign' and code is written in Python using Jupyter notebook (CancerML.ipynb)
Techniques:
- KNN
- Logistic Regression
- Decision Tree
- Random Forests
- Neural Network
- and SVM