Supervised Learning with scikit-learn
George Boorman
Core Curriculum Manager, DataCamp
Using supervised learning techniques to build predictive models
For both regression and classification problems
Underfitting and overfitting
How to split data
Cross-validation
Data preprocessing techniques
Model selection
Hyperparameter tuning
Model performance evaluation
Using pipelines
Machine Learning with Tree-Based Models in Python
Preprocessing for Machine Learning in Python
Model Validation in Python
Feature Engineering for Machine Learning in Python
Unsupervised Learning in Python
Machine Learning Projects
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