Progress Supervised ML Complete & Continue Next Lesson Learn More Chapter 1 - Linear Models 5 Lessons Linear Regression Labs - Linear Regression Logistic Regression and Perceptrons Labs - Logistic Regression Support Vector Machines Chapter 2 - Probabilistic Models 4 Lessons Bayes Theorem and the Naive Bayes Algorithm Lab - Naive Bayes Hidden Markov Models Lab - Hidden Markov Models Chapter 3 - Ensemble Methods 4 Lessons Decision Trees Labs - Decision Trees AdaBoost Labs - Ensemble Methods Chapter 4 - Neural Networks 4 Lessons Neural Networks Labs - Neural Networks Convolutional Neural Networks Recurrent Neural Networks Chapter 5 - Evaluating and Improving Models 2 Lessons Model Evaluation, testing, validation, and error metrics Final Lab - The Titanic Dataset Supervised ML Complete & Continue Next Lesson Learn More Chapter 4 - Neural Networks Recurrent Neural Networks
