All drills

Learn Fast: Build a Real-Estate Data App

What you'll be able to do

Turn a raw dataset into an interactive app that explores it, predicts prices with a regression model, and answers plain-English questions — the build pattern behind today's conversational-analytics tools.

The "chat with your data" pattern behind Microsoft Power BI Copilot, Google Looker, Snowflake Cortex Analyst, and Alation Chat — built on Streamlit (Snowflake), the standard framework for internal data and ML apps.
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Sections

1. Learn Fast: Build a Real-Estate Data App
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2. Explore Real Estate Data
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3. More Analysis and Modeling
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4. Regression Model
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5. Chat with your data
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Dig deeper

📄Sparse Spatial Autoregressions — origin of the California Housing dataset (Pace & Barry, 1997)
paper
🔗The California Housing dataset — scikit-learn
article
🔗Build a data app — Streamlit docs
article

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