Supervised Learning: Classification Private: Data Science Supervised Learning: Classification Lesson Content 0% Complete 0/21 Steps Overview of Classification Classification: A Supervised Learning Algorithm Use Cases Classification Algorithms Decision Tree Classifier Decision Tree: Examples Decision Tree Formation Choosing the Classifier Overfitting of Decision Trees Random Forest Classifier- Bagging and Bootstrapping Decision Tree and Random Forest Classifier Performance Measures: Confusion Matrix Performance Measures: Cost Matrix Naive Bayes Classifier Steps to Calculate Posterior Probability: Part A Steps to Calculate Posterior Probability: Part B Support Vector Machines: Linear Separability Support Vector Machines: Classification Margin Linear SVM: Mathematical Representation Non-linear SVMs The Kernel Trick Previous Lesson Back to Course Next Lesson
