Coursera Specialization Data Science by Roger Peng Jeff Leek Brian Caffo

/8. Practical Machine Learning/04 - Week 4/04 - Unsupervised Prediction (4-24)/datasciencespecialization.github.io_courses_08_PracticalMachineLearning_026unsupervisedPrediction.html

/8. Practical Machine Learning/03 - Week 3/05 - Model Based Prediction (11-39)/datasciencespecialization.github.io_courses_08_PracticalMachineLearning_023modelBasedPrediction.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/04 - Week 4/01 - Regularized regression (13-20)/datasciencespecialization.github.io_courses_08_PracticalMachineLearning_024regularizedRegression.html

/8. Practical Machine Learning/04 - Week 4/02 - Combining predictors (7-11)/datasciencespecialization.github.io_courses_08_PracticalMachineLearning_025combiningPredictors.html

/8. Practical Machine Learning/01 - Week 1/08 - Cross validation (8-20)/datasciencespecialization.github.io_courses_08_PracticalMachineLearning_008crossValidation.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/02 - Week 2/06 - Covariate creation (17-31)/datasciencespecialization.github.io_courses_08_PracticalMachineLearning_015covariateCreation.html

/8. Practical Machine Learning/01 - Week 1/01 - Prediction motivation (8-26)/datasciencespecialization.github.io_courses_08_PracticalMachineLearning_001predictionMotivation.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/01 - Week 1/06 - Types of errors (10-35)/datasciencespecialization.github.io_courses_08_PracticalMachineLearning_006typesOfErrors.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 2/05 - Basic preprocessing (10-52)/datasciencespecialization.github.io_courses_08_PracticalMachineLearning_014basicPreprocessing.html

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

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

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