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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- Forward feature selection in Scikit-Learn
- Generalized Linear Models — Using linear regression when the dependent variable does not follow Gaussian distribution
- A.I. in production: your next stylist is going to be a neural network
- Understanding uncertainty intervals generated by Prophet
- The problem of large categorical variables in machine learning
Bartosz Mikulski
- Data/MLOps engineer by day
- DevRel/copywriter by night
- Python and data engineering trainer
- Conference speaker
- Contributed a chapter to the book "97 Things Every Data Engineer Should Know"
- Twitter: @mikulskibartosz