ml - process

Python Machine Learning Tutorial Contents

Here are the steps for building your first random forest model using Scikit-Learn:

1. Set up your environment.
2. Import libraries and modules.
3. Load red wine data.
4. Split data into training and test sets.
5. Declare data preprocessing steps.
6. Declare hyperparameters to tune.
7. Tune model using cross-validation pipeline.
8. Refit on the entire training set.
9. Evaluate model pipeline on test data.
10. Save model for further use.

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