Data Science and Machine Learning topics
10 short topics in Data Science and Machine Learning. Each one is a single focused exercise with a clear piece of evidence at the end.
10 topics, one exercise each.
Work through them in order, or jump to the one you need.
These are draft topic outlines (draft; instructor review pending). Full lessons follow after review; ask Ajay if you need a topic sooner.
- 01
Exploratory data analysis
Run a controlled example of Exploratory data analysis for Evaluated prediction service using sample data; record assumptions, baseline and measured results.
Open micro-course → - 02
Feature engineering
Run a controlled example of Feature engineering for Evaluated prediction service using sample data; record assumptions, baseline and measured results.
Open micro-course → - 03
Train validation and test splits
Run a controlled example of Train validation and test splits for Evaluated prediction service using sample data; record assumptions, baseline and measured results.
Open micro-course → - 04
Supervised learning
Run a controlled example of Supervised learning for Evaluated prediction service using sample data; record assumptions, baseline and measured results.
Open micro-course → - 05
Unsupervised learning
Run a controlled example of Unsupervised learning for Evaluated prediction service using sample data; record assumptions, baseline and measured results.
Open micro-course → - 06
Classification and regression metrics
Run a controlled example of Classification and regression metrics for Evaluated prediction service using sample data; record assumptions, baseline and measured results.
Open micro-course → - 07
Overfitting and regularization
Run a controlled example of Overfitting and regularization for Evaluated prediction service using sample data; record assumptions, baseline and measured results.
Open micro-course → - 08
Data leakage prevention
Run a controlled example of Data leakage prevention for Evaluated prediction service using sample data; record assumptions, baseline and measured results.
Open micro-course → - 09
Model serving
Run a controlled example of Model serving for Evaluated prediction service using sample data; record assumptions, baseline and measured results.
Open micro-course → - 10
Model drift and retraining
Run a controlled example of Model drift and retraining for Evaluated prediction service using sample data; record assumptions, baseline and measured results.
Open micro-course →
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