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Curriculum
4 Sections
7 Lessons
Lifetime
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Intro
2
1.1
Basic Concepts of Supervised Learning
1.2
Preparing for Modeling
Algorithms
2
2.1
Supervised Learning Algorithms for Regression
2.2
Advanced Supervised Learning Algorithms for Regression
Modeling and Implementation
2
3.1
Hyperparameter Optimization Training with Grid Search Cross-Validation
3.2
All togheter Script
Conclusions and Self-Test
2
4.1
Conclusions
4.3
TEST: Hyperparameter Optimization in Supervised Machine Learning Regression with Python
10 Questions
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