Coursera Specialization Data Science by Roger Peng Jeff Leek Brian Caffo

/8. Practical Machine Learning/02 - Week 2/05 - Basic preprocessing (10-52)/datasciencespecialization.github.io_courses_08_PracticalMachineLearning_014basicPreprocessing.html

/8. Practical Machine Learning/02 - Week 2/02 - Data slicing (5-40)/datasciencespecialization.github.io_courses_08_PracticalMachineLearning_011dataSlicing.html

/8. Practical Machine Learning/03 - Week 3/04 - Boosting (7-08)/datasciencespecialization.github.io_courses_08_PracticalMachineLearning_022boosting.html

/8. Practical Machine Learning/01 - Week 1/02 - What is prediction (8-39)/datasciencespecialization.github.io_courses_08_PracticalMachineLearning_002whatIsPrediction.html

/8. Practical Machine Learning/02 - Week 2/01 - Caret package (6-16)/datasciencespecialization.github.io_courses_08_PracticalMachineLearning_010caretPackage.html

/8. Practical Machine Learning/02 - Week 2/06 - Covariate creation (17-31)/datasciencespecialization.github.io_courses_08_PracticalMachineLearning_015covariateCreation.html

/8. Practical Machine Learning/02 - Week 2/04 - Plotting predictors (10-39)/datasciencespecialization.github.io_courses_08_PracticalMachineLearning_013plottingPredictors.html

/8. Practical Machine Learning/03 - Week 3/02 - Bagging (9-13)/datasciencespecialization.github.io_courses_08_PracticalMachineLearning_020bagging.html

/8. Practical Machine Learning/04 - Week 4/03 - Forecasting/datasciencespecialization.github.io_courses_08_PracticalMachineLearning_027forecasting.html

/8. Practical Machine Learning/01 - Week 1/06 - Types of errors (10-35)/datasciencespecialization.github.io_courses_08_PracticalMachineLearning_006typesOfErrors.html

/8. Practical Machine Learning/02 - Week 2/03 - Training options (7-15)/datasciencespecialization.github.io_courses_08_PracticalMachineLearning_012trainOptions.html

/8. Practical Machine Learning/04 - Week 4/01 - Regularized regression (13-20)/datasciencespecialization.github.io_courses_08_PracticalMachineLearning_024regularizedRegression.html

/8. Practical Machine Learning/03 - Week 3/03 - Random Forests (6-49)/datasciencespecialization.github.io_courses_08_PracticalMachineLearning_021randomForests.html

/8. Practical Machine Learning/01 - Week 1/05 - Prediction study design (9-05)/datasciencespecialization.github.io_courses_08_PracticalMachineLearning_005predictionStudyDesign.html

/8. Practical Machine Learning/03 - Week 3/05 - Model Based Prediction (11-39)/datasciencespecialization.github.io_courses_08_PracticalMachineLearning_023modelBasedPrediction.html

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