statistical-learning
Introduction
statistical Learning
What is Statistical Learning
Assessing Model Accuracy
lab: introduction R
Exercise Conceptual
Linear Regression
simple linear regression
multiple linear regression
consideration in the regression model
the marketing plan
Comparsion with KNN
lab: linear regression
Exercise Conceptual
Exercise Applied
Classification
overview of classification
logistic regression
linear discriminant analysis
Comparsion of Classification Methods
lab: Logistic Regression, LDA, QDA, KNN
Execrise Conceptual
Execrise Applied
Resampling Methods
Cross Validation
lab: Cross-Validation and the Bootstrap
Exercise Conceptual
Exercise Applied
Linear Model Selection and Regularization
Subset Selection
Shrinkage Methods
Dimension Reduction Methods
lab: model selection
Exercise Conceptual
Exercise Applied
Moving Beyond Linearity
Basis Functions
Regression Splines
Smoothing Splines
Generalized Additive Models
lab: Nonlinear function
Exercise Conceptual
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statistical Learning
In essence, statistical learning refers to a set of approaches for estimating .
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