Feature Engineering Using The sklearn.preprocessing Package
32:36
Data Loading, Understanding, and Filtering for Machine Learning Using Pandas
25:27
Empirical Risk Minimization and General Machine Learning Workflow
4:33
Musk: We Need to Delete Agencies Like 'Weeds'
32:18
Train-Test Split and Cross-Validation, sklearn.model_selection, cross_val_score, and cross_validate
47:35
Beren Millidge: Learning in the brain beyond backprop
8:26
Creating Machine Learning Workflows Using Pipeline in Scikit-Learn
2:09:48
C can do this too and it's faster than Python
14:30