Introduction to Data Science Machine Learning Lesson Content 0% Complete 0/13 Steps Introduction to Machine Learning Supervised vs Unsupervised Learning Association Rules: Apriori Algorithm Decision Trees: ID3 Algorithm Introduction to Concept Learning in ML Concept Learning: Find-S Algorithm Concept Learning: Candidate Elimination Algorithm Naive Bayes K-Nearest Neighbours K-Fold Cross Validation Support Vector Machines Linear Regression Unraveling Logistic Regression Previous Lesson Back to Course