This repo includes all of the ipython notebooks that I will go through in the tutorial. It is targeted to people who have beginner to intermediate knowledge in machine learning and wants to use Scikit-Learn in their machine learning pipeline.
It covers from basic concepts of Scikit-Learn(unsupervised learning, supervised learning and cross validation) to pipelines, grid search, model selection and deployment process.
The dependencies are given in the 0th notebook, to reproduce it, makes sure you have at least those versions in that notebook. Otherwise, please feel free to open an issue in this repository.
You could browse the IPython notebooks in nbviewer