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I’m starting to experiment with the Yellowbrick machine learning visualizer tools to learn how to visualize models more effectively. The documentation is good, and getting started with the tools is pretty straightforward. I started to get bored with the default color palette after playing with some of the basic visualization examples in the documentation (more […]
All python code in this post is Python 3.5+. In my previous post, I described how I got usable Pandas dataframes from the Kaggle movies dataset. My next step was to start exploring the data with simple visualizations. The first feature I wanted explore was the distribution of movies by year in the movies_metadata data […]