Machine learning cheat sheets
This blog post is just a collection of machine learning cheat sheets I find useful and google repeatedly. I wanted to keep the links in one place ;)
DataCamp has an awesome collection of cheat sheets:
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- Understanding uncertainty intervals generated by Prophet
- The problem of large categorical variables in machine learning
- How to interpret ROC curve and AUC metrics
- How to avoid bias against underrepresented target classes while training a machine learning model
- How to load data from Google Drive to Pandas running in Google Colaboratory
