In this passage you will have a chance to work with Polynomial, Linear and Logistic regressions, Decision Trees and Support Vector Machines. The section is divided into two subcategories : regression and classification. We strongly recommend you to start with regression category, as main concepts of machine learning are exposed there.
- Linear regression and core concepts of machine learning
- Polynomial regression
- l1 and l2 regularization
- SVM (Support Vector Machines)
- Decision trees family
- Binary classification and core concepts of it
- Hyperparameters tuning