Man predictive models learn correlations between your features and your target, and apply those to make predictions. If you change your strategies, you risk changing these correlations. We look at an example where increasing prices leads to...
Many predictive models learn correlations between your features and your target, and apply those to make predictions. If you change your strategies, you risk changing these correlations. We look at an example where increasing prices leads to...
The ColumnTransformer allows us to easily apply different transformations to different features. For example, now we can scale some numerical features, while leaving binary flags alone! This article walks through two examples using...
Many of the classifiers in sklearn support a predict_proba method for calculating probabilities. Often, these "probabilities" are really just a score from 0 to 1, where a higher score means the model is more confident in the prediction, but it...