Entry 22: Scoring Regression models - Implementation
Now that I’ve got a handle on the measurement options and equations, it’s time to implement those measures on actual models.
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Entry 21: Scoring Regression Models - Theory
I need a way to measure a model’s performance. To do that, first I need to break it down by the type of prediction.
Entry 20: Scikit-Learn Pipeline
There are quite a few steps between pulling data and having a trained model. I need a good way to string it all together.
Entry 19: Implementing Cross-validation
In Entry 18 I finalized the decision to use a hybrid approach to validating models. Now I have to implement it.
Entry 18: Cross-validation
In Entry 17, I decided I want to use a hybrid cross-validation method. I intend to split out a hold-out set, then perform cross-validation on the training se...