Hey everyone! I'm finally back with another video, this is part 3 of the Machine Learning in Python Series. This video is on how to clean the dataset. Cleaning data can be pretty boring, but it's really important as most of the time, the dataset you're using won't be in a good format, and you have to tweak around with the data labels and features so you can actually load it in and use it in your programs. Hope y'all liked it!
Dataset: http://archive.ics.uci.edu/ml/datasets/communities+and+crime
Code: https://gist.github.com/codelearnern/b886d353a5954ce4c6e735b3528756f0
🎥 Videos Mentioned:
Last Video & Explanation of the Linear Regression Algorithm: https://www.youtube.com/watch?v=oobM7Et7Huk
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