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Exploratory data analysis and model selection with TPOT

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Aabehmiel
Last edited May 26, 2017
Created on May 26, 2017

This example demonstrates exploratory data analysis and automated model selection for a website conversion dataset, revealing patterns such as higher conversion rates among younger users, repeat customers, and those visiting more pages. It first uses pandas to group data and matplotlib to plot conversion trends by pages visited, country, and age. The workflow then applies scikit-learn’s train_test_split and TPOTClassifier to automatically optimize a machine-learning pipeline, exporting the final model to a Python file.

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