python with scikit-learn written by michelle morales edited by brian hogan in this tutorialyou'll implement simple machine learning algorithm in python using scikit-learna machine learning tool for python using database of breast cancer tumor informationyou'll use naive bayes (nbclassifier that predicts whether or not tumor is malignant or benign by the end of this tutorialyou'll know how to build your very own machine learning model in python prerequisites to complete this tutorialwe'll use jupyter notebookswhich are useful and interactive way to run machine learning experiments with jupyter notebooksyou can run short blocks of code and see the results quicklymaking it easy to test and debug your code to get up and running quicklyyou can open up web browser and navigate to the try jupyter websitejupyter org/try from thereclick on try jupyter with pythonand you will be taken to an interactive jupyter notebook where you can start to write python code if you would like to learn more about jupyter notebooks and how to set up your own python programming environment to use with jupytery can read our tutorial on how to set up jupyter notebook for python