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).