supervised_learning

PyCaret

In this module will be reviewed and tested PyCaret library and finally built tools / solutions to be used in real tasks.

Topics to be tested

• Regression / Classification.
• Sampling / Crossvalidation / Different kind of folds.
• Results monitoring: Regression / Classification.
• Feature engineering / Custom pipeline.
• Imbalance classification problem.
• Model hiperparemeters.

References

• PyCaret Official Homepage.
• TowardsDataScience: A Complete Data Analysis Workflow in Python PyCaret