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Module 7 - Practical approaches - Supervised Machine Learning in Python
Persisting our model
Pickle library (8:39)
Practical examples in Python
A complete pipeline: model selection and hyperparameter tuning (19:45)
Feature selection with Lasso (9:12)
Dimensionality reduction using RFE (5:02)
How to choose the right scaler (5:45)
Practical approaches
The curse of dimensionality
The importance of pre-processing
The importance of the right features against the model
Interpretability of a model
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A complete pipeline: model selection and hyperparameter tuning
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