The course covers the basics of Machine Learning such as supervised learning, unsupervised learning and the detail of some famous algorithms as SVM, Random Forest, Naive Bayes. This is a great resource for you to retest your knowledge about this field.

Test content

• Regressions
• Clustering and Nearest Neighbor
• Naive Bayes
• Random Forest
• Neural Networks
• Support Vector Machine (SVM)