How to Evaluate Your Machine Learning Models with Python Code!

#artificialintelligence 

You've finally built your machine learning model to predict future prices of Bitcoin so that you can finally become a multi-billionaire. But how do you know that the model you created is any good? In this article, I'm going to talk about several ways you can evaluate your machine learning model with code provided! If you don't know the difference between regression and classification models, check out here. More specifically, I'm going to cover the following metrics: R Squared is a measurement that tells you to what extent the proportion of variance in the dependent variable is explained by the variance in the independent variables.

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