Graham Wheeler's Random Forest

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Basic Machine Learning with SciKit-Learn

This is the fourth post in a series based off my [Python for Data Science bootcamp]((https://github.com/gramster/pythonbootcamp) I run at eBay occasionally. The other posts are: a Python crash course using Jupyter exploratory data analysis. In this post we will look into the basics of building ML models with Scikit-Learn. Scikit-Learn is the most widely used Python library for ML, especially outside of deep learning (where there are several contenders and I recommend using Keras, which is a package that provides a simple API on top of several underlying contenders like TensorFlow and PyTorch).