Machine Learning, Clearly Explained (StatQuest)

Course audio: Course audio: English
Level: Beginner
Length: 105 lessons · 29.8 hours

What you'll be able to do

Explain cross-validation, bias-variance and ROC curves
Understand how trees, random forests and boosting work
Interpret PCA, t-SNE and clustering results
Follow how neural networks and transformers learn

About this course

Josh Starmer's StatQuest machine learning playlist: more than a hundred short, visual explanations, from cross-validation, the confusion matrix, sensitivity and specificity and bias-variance to linear and logistic regression, ROC and AUC, ridge and lasso, PCA, t-SNE and DBSCAN. It continues through Naive Bayes, regression and classification trees, random forests, gradient boost, XGBoost and CatBoost, support vector machines, then neural networks, RNNs, seq2seq, transformers and reinforcement learning with human feedback. Each idea is drawn step by step without heavy notation, which makes it a superb companion to any ML course.