Data Science with Snowpark

Hex is the fastest way to get started with Snowpark for Python, with built-in environments and helper functions to create new Snowpark sessions. You can even natively return SQL queries as Snowpark dataframes.

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Discover how other data scientists and analysts use Hex for everything from dashboards to deep dives.

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A/B testing

Run A/B tests and analyze results with Python in Hex. This template covers hypothesis testing, statistical significance, and experiment analysis.

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Anomaly Detection

Detect anomalies in time series and tabular data using Python in Hex. This template covers statistical and ML-based anomaly detection with working examples.

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Churn Prediction

Build a churn prediction model in Hex using Python and scikit-learn. Covers feature engineering, training, and model evaluation with working examples.

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ML Model Development

Build, test, and deploy powerful ML models

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Outlier Detection

Detect anomalies using IQR, Z-score, Isolation Forest, and more in a Hex notebook. Covers the main outlier detection methods with working Python code.

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