The Dataquest Download
Level up your data and AI skills, one newsletter at a time.
Hello, Dataquesters!
Here’s what we have in store for you in this edition:
Top Read: Learn how to build and evaluate a linear regression model using real healthcare data in Python. Learn more
From the Community: See how learners are forecasting gym traffic and exploring traffic data. Also, participate in the Community No-Lose Lottery! Join the discussion
DQ Resources: Test AWS, Azure, and GCP with a 30-day roadmap and choose the best cloud provider through hands-on experience. Learn more
Want to level up your machine learning skills? This hands-on tutorial walks you through building a linear regression model in Python using real healthcare data. You’ll go from exploratory analysis to model evaluation using scikit-learn and see how to handle skewed input data, interpret model coefficients, and spot when linear regression might not be the best fit.
From the Community
Forecasting Gym Traffic: Dimitar built a clean, end-to-end machine learning project comparing models to predict gym traffic—efficient code, great visuals, and actionable insights.
Finding Indicators of I-94 Traffic: Huynh’s project is rich in elegant visualizations and deep EDA, revealing key traffic patterns through data.
Community No-Lose Lottery Update: Check the updated terms of the Community No-Lose Lottery and participate in its current iteration.
DQ Resources
How to Choose the Right Cloud Service Provider: Not sure whether to go with AWS, Azure, or GCP? This 30-day roadmap helps you test all three using their free tiers so you can make an informed choice based on hands-on experience. Perfect for beginners! Learn more
Answering Business Questions Using SQL: Learn how to analyze a digital music store’s data using SQL. This hands-on project using the Chinook database walks through real-world SQL tasks like tracking sales, evaluating employees, and spotting growth opportunities using CTEs, subqueries, and more. Learn more
What We're Reading
Going From Notebooks to Scalable Systems: Catch this PyCon US session on YouTube to learn practical steps for turning your Jupyter Notebooks into clean, production-ready code—a must-watch for anyone bridging experimentation and deployment.
Why AI Agents Will Be a Huge Disaster: This insightful opinion piece explores why the current hype around AI agents might be premature, outlining serious concerns around trust, tool reliability, legal risks, and ethical pitfalls.
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