This directory contains demo notebooks used for Practical Machine Learning, an all-day tutorial at Strata + Hadoop World, San Jose, 2016. The course is designed to introduce machine learning via real applications like
- building a recommender
- detecting anomalies
- analyzing time series data
- image analysis using deep learning
- predicting customer churn
- deploying machine learning
You can browse the notebooks using Github's notebook viewer, but please note that some images may not be rendered correctly. Follow these steps to set up and run the notebooks on your own machine.
- Download GraphLab Create v1.8.5 and then follow instructions to install.
- Download and unzip the datasets [831MB]
- Install Jupyter notebook (needed only if you install GraphLab Create via command line)