Multivariate data analysis @Korea University (Undergraduate)
- R Overview
- Handling different data types
- Text processing
- Conditions and loops in R
- R functions
- R graphics
- Documentation
- A Priori algorithm
- ARM applications
- R exercise
- Goals and issues in clustering
- K-Means clustering
- Hierarchical clustering
- R exercise
- Multiple linear regression: ordinary least squares (OLS)
- Evaluating the performance of regression algorithms
- Supervised variable selection
- MLR application: Forecasting box office with SNS data
- R Exercise
- Logistic regression
- Statistical properties of regression coefficients
- R exercise
- k-NN classification
- k-NN regression
- Evaluating the performance of classification algorithms
- R exercise
- Baye's Rule and Naive Bayesian classifier
- Linear discriminant analysis
- R exercise
- Classification Tree
- Regression Tree
- R exercise
- Neural network structure
- Activation function
- Learning neural network
- Avoid overfitting
- R exercise
- Bootstrapping (Bagging): ANN and DT
- Random Forests
- R exercise