Logistic Regression and the Perceptron Algorithm: A friendly introduction
30:58
Support Vector Machines (SVMs): A friendly introduction
31:05
Linear Regression: A friendly introduction
33:20
A friendly introduction to Deep Learning and Neural Networks
26:34
Principal Component Analysis (PCA)
23:54
Gradient Descent, Step-by-Step
20:29
Naive Bayes classifier: A friendly approach
44:43
Machine Learning: Testing and Error Metrics
32:46