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Mastering Supervised Learning with scikit-learn
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Mastering Supervised Learning with scikit-learn
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Chapters
Summary
Transcript
Chapters
1
Foundations: Classification & Regression
0:00
2
The Classification Workflow
0:31
3
Underfitting vs Overfitting
1:04
4
Evaluating Regression Models
1:34
5
Beyond Accuracy: Tuning & Metrics
2:07
6
Preparing Real-World Data
2:40
7
Automating with Pipelines
3:13
8
Your Machine Learning Toolkit
3:43
