Simplifying Machine Learning with PyCaret in Python/

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Solution Review: Train Random Forest Model

Solution Review: Train Random Forest Model

This is the in-depth solution review of the "Train Random Forest Model" coding challenge.

We'll cover the following...

Solution

Python 3.5
# Load the automobile dataset to a variable named `data`
 data = get_data('automobile')
# Initialize PyCaret environment and assign result to a variable named `reg1`
 reg1 = setup(data, target = 'price', silent = True)
# Create a Random Forest model and assign it to a variable named `model`.
 model = create_model('rf')

Explanation

  • Line 3: We load the automobile dataset into the data
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