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CuratedBeginner$20
Data Science for AI
Build the statistical foundation for AI: data quality, regression, classification, time series, neural networks, and paradigm selection.
Modules
6
Verified
0
In Progress
0
What you walk away with
- ✓A shareable portfolio URL with your project walkthrough
- ✓Module-by-module timeline of everything you built
- ✓All the code — pipelines, guardrails, deployment configs
- ✓Production patterns documented on your profile
Claude CodeTypeScriptJSONCSV
Build the statistical and machine learning foundation needed to understand modern AI. You'll learn to see the world as data, master regression and classification, understand time series forecasting, demystify neural networks from perceptrons to transformers, and develop a decision framework for choosing between classical ML, deep learning, and foundation models.