Day35 ML Review - Decision Tree (1)
Components, How it Works & Maximizing Information Gain (1) - Gini Impurity
Components, How it Works & Maximizing Information Gain (1) - Gini Impurity
Solving Nonlinear Problems - Using a Kernal SVM
SVM: Nonlinear Separable Case
Basic Concepts and Mathematical Formulations
How To Train in Scikit-Learn, and Regularization with LR model
Cost Function of Logistic Regression
Basic Concepts and Sigmoid Function
Step by Step - Training Perceptron (3)
Step by Step - Training Perceptron (2)
Choosing a Classification Algorithm Step by Step - Training Perceptron (1)