Multinomial logistic regression and micro vs macro average in scikit-learn
33:16
Evaluating Classifiers: Confusion Matrix, Precision, and Recall
25:27
Empirical Risk Minimization and General Machine Learning Workflow
41:59
Logistic Regression, Sigmoid Function, Decision Boundary, Cross-Entropy Loss Function
27:23
Linear regression implementation in scikit-learn & evaluation metrics: R2 score, explained variance
30:57
Build your first machine learning model in Python
46:03
Basics of Python and Object-Oriented Programming With Simple Linear Regression
29:51
Bias-Variance Tradeoff in Machine Learning and Regularization (L1 vs L2)
30:38