Algorithms

Need someone who is good at followings:
Linear Regression: Simple Linear Regression
Linear Regression: Multiple Linear Regression
Classification: Logistic Regression
Classification: Linear Discriminate Analysis
Resampling: Cross-validation
Resampling: The Bootstrap
Model Selection and Regularization: Subset Selection
Model Selection and Regularization: Lasso and Ridge Regression
Regression Trees, Bagging, and Random Forests
Support Vector Machine: Part 1
Support Vector Machine: Part 2
Unsupervised Learning: Principle Component Analysis
Unsupervised Learning: Clustering Methods