Get the essential machine learning skills and use them in real life situations

What you'll learn

Understand the essential concepts related to machine learning
Perform model cross-validation to assess model stability on independent data sets
Execute advanced regression analysis techniques: best subset selection regression, penalized regression, PLS regression
Perform logistic regression and discriminant analysis
Apply complex classification techniques: naive Bayes, K nearest neighbor, support vector machine, decision trees
Use neural networks to make predictions
Use principal components analysis to detect patterns in variables
Conduct cluster analysis to group observations into homogeneous classes