Machine Learning Course

I am looking for someone who is an expert in machine learning to teach me the following: 1- Feature Selection using various algorithms( PCA, CHI Square, Correlation, Information Gain, Relief, etc) Generally both Genetic and Ranker Search algorithms 2- Feature Engineering 3- Ensemble Methods( Adaboost, GBM, Bagging, Stacking, VOT, MB, Forest) 4- Multilayer Perceptron(Deep learning) 5- Evaluation metrics, how they work The course must focus on how the above works in WEKA.