Revolutionize Your Data Science Workflows with H2O.ai: The Ultimate Automation Guide!

Name: Revolutionize Your Data Science Workflows with H2O.ai: The Ultimate Automation Guide!
Uploaded: 2023-06-19
Duration: 134 min
Description: A Driverless AI starter course from H2O University, end to end on a real credit-score dataset: Aquarium trial, data import, visualization, and experiments.

Predictive AI
H2O Driverless AI

Overview

Andrea, an H2O.ai instructor, leads this Driverless AI starter course from the H2O.ai University certification program, walking through the platform end to end using a real credit-score dataset. The session covers setting up a free Aquarium trial account, importing and visualizing data, splitting into train and test sets, and launching a supervised classification experiment using the accuracy, time, and interpretability settings. It also covers reading the results: the ROC curve, the machine learning interpretability report (Shapley values, partial dependence, decision tree surrogate), model diagnostics, and the auto-generated documentation.

Key takeaways

How to spin up a free, two-hour Aquarium lab account to follow along with Driverless AI without a company license.
How to import a dataset (a 100,000-row credit-score dataset from H2O's public S3 bucket), review descriptive statistics and column details, and generate automatic visualizations, including an interactive correlation graph.
How to split data into training and test sets, including stratified sampling on the target column, then launch a supervised classification experiment and tune the accuracy, time, and interpretability knobs.
How Driverless AI automates feature engineering, model tuning, and selection through an evolutionary process, and how to add custom scoring recipes pulled from the H2O GitHub repository.

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