I think it would be good to kill two birds with on stone. And as always, Wikipedia provies a comprehensive explanation: link. Lindsay Smith from Otago provides a good academic overview: link. Matt Berns provide a good overview and resources: link. When we have a lot of variables, we can reduce them using PCA. I won’t be explaining what it is, but only how to do it in Python. In this article I will be writing how to do Linear Regression in Python. Wikipedia provides a comprehensive view, as always: link. Jurafsky & Martin from Stanford provide a more detailed view, along with the mathematics: link. JavaTPoint provies a good, short overview on Logistic Regression: link. For example, whether a client will invest or not. Logistic Regression means predicting a catagorical variable, without losing too much information.
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