In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter) and the code will be available on github.
In this video I set up, train, and evaluate KNeighborsClassifier (KNN – K-Nearest-Neighbors) on the cancer dataset in scikit-learn.
Recommended reading: Andreas Müller and Sarah Guido ML book: