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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- How to install scikit-automl in a Kaggle notebook
- What is the difference between training, validation, and test sets in machine learning
- Nested cross-validation in time series forecasting using Scikit-learn and Statsmodels
- A.I. in production: your next stylist is going to be a neural network
- Generalized Linear Models — Using linear regression when the dependent variable does not follow Gaussian distribution
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