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| 001predictionMotivation.pdf |
2.14Мб |
| 002whatIsPrediction.pdf |
1.81Мб |
| 003relativeImportance.pdf |
906.82Кб |
| 004inOutSampleErrors.pdf |
1.01Мб |
| 005predictionStudyDesign.pdf |
861.73Кб |
| 006typesOfErrors.pdf |
1.68Мб |
| 007receiverOperatingCharacteristic.pdf |
335.56Кб |
| 008crossValidation.pdf |
501.23Кб |
| 009whatData.pdf |
1.67Мб |
| 01_01_obtainingDataMotivation.html |
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| 01_01_obtainingDataMotivation.pdf |
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| 01_01_seriesMotivation.pdf |
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| 01_01.pdf |
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| 01_01.pdf |
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| 01_01a_toolBoxOverview.pdf |
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| 01_02_gettingHelp.pdf |
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| 01_02_rawAndProcessedData.html |
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| 01_02_rawAndProcessedData.pdf |
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| 01_02.pdf |
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| 01_02.pdf |
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| 01_03_componentsOfTidyData.html |
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| 01_03_componentsOfTidyData.pdf |
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| 01_03_findingAnswers.pdf |
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| 01_03.pdf |
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| 01_03.pdf |
185.10Кб |
| 01_04_downLoadingFiles.html |
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| 01_04_downLoadingFiles.pdf |
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| 01_04_RProgramming.pdf |
542.02Кб |
| 01_04.pdf |
147.49Кб |
| 01_04.pdf |
147.49Кб |
| 01_05_gettingData.pdf |
462.36Кб |
| 01_05_readingLocalFiles.html |
8.95Кб |
| 01_05_readingLocalFiles.pdf |
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| 01_05.pdf |
211.02Кб |
| 01_05.pdf |
211.02Кб |
| 01_06_exploratoryAnalysis.pdf |
382.06Кб |
| 01_06_readingExcelFiles.html |
7.67Кб |
| 01_06_readingExcelFiles.pdf |
1.77Мб |
| 01_06.pdf |
230.65Кб |
| 01_06.pdf |
230.65Кб |
| 01_07_readingXML.html |
13.53Кб |
| 01_07_readingXML.pdf |
3.37Мб |
| 01_07_reproducibleResearch.pdf |
265.52Кб |
| 01_07.pdf |
231.85Кб |
| 01_08_readingJSON.html |
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| 01_08_readingJSON.pdf |
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| 01_08_statisticalInference.pdf |
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| 01_09_dataTable.html |
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| 01_09_dataTable.pdf |
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| 01_09_regressionModels.pdf |
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| 01_10_practicalMachineLearning.pdf |
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| 01_11_buildingDataProducts.pdf |
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| 010caretPackage.pdf |
2.26Мб |
| 011dataSlicing.pdf |
832.67Кб |
| 012trainOptions.pdf |
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| 013plottingPredictors.pdf |
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| 014basicPreprocessing.pdf |
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| 015covariateCreation.pdf |
1.88Мб |
| 016preProcessingPCA.pdf |
1.68Мб |
| 017predictingWithRegression.pdf |
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| 018predictingWithRegressionMC.pdf |
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| 019predictingWithTrees.pdf |
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| 02_01_readingMySQL.html |
17.91Кб |
| 02_01_readingMySQL.pdf |
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| 02_01.pdf |
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| 02_01.pdf |
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| 02_02_readingHDF5.html |
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| 02_02_readingHDF5.pdf |
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| 02_02.pdf |
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| 02_02.pdf |
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| 02_03_commandLineInterface.pdf |
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| 02_03_readingFromTheWeb.html |
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| 02_03_readingFromTheWeb.pdf |
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| 02_03.pdf |
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| 02_04_git.pdf |
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| 02_04_readingFromAPIs.html |
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| 02_04.pdf |
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| 02_05_github.pdf |
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| 02_05_readingFromOtherSources.html |
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| 02_05_readingFromOtherSources.pdf |
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| 02_05.pdf |
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| 02_06_creatingRepos.pdf |
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| 02_07_basicGitCommands.pdf |
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| 02_08_basicMarkdown.pdf |
257.30Кб |
| 02_09_installingRPackages.pdf |
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| 02_10_rtools.pdf |
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| 020bagging.pdf |
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| 021randomForests.pdf |
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| 022boosting.pdf |
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| 023modelBasedPrediction.pdf |
1.22Мб |
| 024regularizedRegression.pdf |
1.68Мб |
| 025combiningPredictors.pdf |
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| 026unsupervisedPrediction.pdf |
735.81Кб |
| 027forecasting.pdf |
1.76Мб |
| 03_01_subsettingAndSorting.html |
8.34Кб |
| 03_01_subsettingAndSorting.pdf |
784.01Кб |
| 03_01_typesOfQuestions.pdf |
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| 03_01.pdf |
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| 03_01.pdf |
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| 03_02_summarizingData.html |
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| 03_02_summarizingData.pdf |
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| 03_02_whatIsData.pdf |
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| 03_02.pdf |
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| 03_03_creatingNewVariables.html |
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| 03_03_creatingNewVariables.pdf |
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| 03_03_whatAboutBigData.pdf |
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| 03_03.pdf |
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| 03_04_experimentalDesign.pdf |
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| 03_04_reshapingData.html |
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| 03_04.pdf |
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| 03_05_mergingData.html |
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| 04_01_editingTextVariables.html |
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| 04_01_editingTextVariables.pdf |
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| 04_02_regularExpressions.html |
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| 04_02_regularExpressions.pdf |
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| 04_03_regularExpressionsII.html |
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| 04_03_regularExpressionsII.pdf |
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| 04_04_workingWithDates.html |
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| 04_04_workingWithDates.pdf |
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| 04_05_dataResources.html |
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| 04_05_dataResources.pdf |
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| 10 - 1 - Homework 1.mp4 |
27.64Мб |
| 10 - 2 - Homework 2.mp4 |
29.45Мб |
| 10 - 3 - Homework 3.mp4 |
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| 10 - 4 - Homework 4.mp4 |
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| 1 - 10 - 01_04_a Regression to the Mean (346).mp4 |
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| 1 - 10 - 01_04_a Regression to the Mean (346).srt |
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| 1 - 10 - 01_04_a Regression to the Mean (346).txt |
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| 1 - 10 - 04 02 Expected values, simple examples (212).mp4 |
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| 1 - 10 - 04 02 Expected values, simple examples (212).srt |
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| 1 - 10 - 04 02 Expected values, simple examples (212).txt |
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| 1 - 1 - 01_01_a Introduction to regression (410).mp4 |
5.54Мб |
| 1 - 1 - 01_01_a Introduction to regression (410).srt |
6.65Кб |
| 1 - 1 - 01_01_a Introduction to regression (410).txt |
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| 1 - 1 - 01 01 Introduction (705).mp4 |
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| 1 - 1 - 01 01 Introduction (705).srt |
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| 1 - 1 - 01 01 Introduction (705).txt |
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| 1 - 10 - Regression Models Overview (1_46).mp4 |
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| 1 - 10 - Regression Models Overview (1_46).srt |
3.09Кб |
| 1 - 11 - 01_04_b Regression to the Mean Example (1046).mp4 |
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| 1 - 11 - 01_04_b Regression to the Mean Example (1046).srt |
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| 1 - 11 - 01_04_b Regression to the Mean Example (1046).txt |
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| 1 - 11 - 04 03 Expected values for PDFs (746).mp4 |
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| 1 - 11 - 04 03 Expected values for PDFs (746).srt |
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| 1 - 11 - 04 03 Expected values for PDFs (746).txt |
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| 1 - 11 - Practical Machine Learning Overview (1_31).mp4 |
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| 1 - 11 - Practical Machine Learning Overview (1_31).srt |
2.61Кб |
| 1 - 12 - Building Data Products Overview (1_19).mp4 |
1.16Мб |
| 1 - 12 - Building Data Products Overview (1_19).srt |
2.42Кб |
| 1 - 13 - Installing R on Windows (3_20) {Roger Peng}.mp4 |
5.12Мб |
| 1 - 13 - Installing R on Windows (3_20) {Roger Peng}.srt |
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| 1 - 14 - Install R on a Mac (2_02) {Roger Peng}.mp4 |
3.98Мб |
| 1 - 14 - Install R on a Mac (2_02) {Roger Peng}.srt |
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| 1 - 15 - Installing Rstudio (1_36) {Roger Peng}.mp4 |
2.61Мб |
| 1 - 15 - Installing Rstudio (1_36) {Roger Peng}.srt |
2.53Кб |
| 1 - 1 - Installing R on Windows.mp4 |
5.14Мб |
| 1 - 1 - Installing R on Windows.mp4 |
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| 1 - 1 - Installing R on Windows.srt |
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| 1 - 1 - Installing R on Windows.srt |
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| 1 - 1 - Installing R on Windows.txt |
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| 1 - 1 - Installing R on Windows.txt |
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| 1 - 1 - Introduction.mp4 |
5.86Мб |
| 1 - 1 - Introduction.srt |
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| 1 - 1 - Introduction.txt |
2.22Кб |
| 1 - 1 - Obtaining Data Motivation (538).mp4 |
4.98Мб |
| 1 - 1 - Obtaining Data Motivation (538).srt |
9.99Кб |
| 1 - 1 - Obtaining Data Motivation (538).txt |
6.33Кб |
| 1 - 1 - Prediction motivation (826).mp4 |
10.49Мб |
| 1 - 1 - Prediction motivation (826).srt |
15.10Кб |
| 1 - 1 - Prediction motivation (826).txt |
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| 1 - 1 - Series Motivation (12_03).mp4 |
9.60Мб |
| 1 - 1 - Series Motivation (12_03).srt |
21.54Кб |
| 1 - 2 - 01_01_b Basic least squares (541).mp4 |
7.15Мб |
| 1 - 2 - 01_01_b Basic least squares (541).srt |
8.67Кб |
| 1 - 2 - 01_01_b Basic least squares (541).txt |
5.19Кб |
| 1 - 2 - Brief note on new materials.mp4 |
1.06Мб |
| 1 - 2 - Installing R on a Mac.mp4 |
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| 1 - 2 - Installing R on a Mac.mp4 |
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| 1 - 2 - Installing R on a Mac.srt |
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| 1 - 2 - Installing R on a Mac.srt |
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| 1 - 2 - Installing R on a Mac.txt |
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| 1 - 2 - Installing R on a Mac.txt |
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| 1 - 2 - Raw and Processed Data (707).mp4 |
5.95Мб |
| 1 - 2 - Raw and Processed Data (707).srt |
11.82Кб |
| 1 - 2 - Raw and Processed Data (707).txt |
7.45Кб |
| 1 - 2 - The Data Scientist_'s Toolbox (5_09).mp4 |
4.41Мб |
| 1 - 2 - The Data Scientist_'s Toolbox (5_09).srt |
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| 1 - 2 - What is prediction (839).mp4 |
10.98Мб |
| 1 - 2 - What is prediction (839).srt |
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| 1 - 2 - What is prediction (839).txt |
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| 1 - 3 - 01_01_c Least squares continued (538).mp4 |
7.49Мб |
| 1 - 3 - 01_01_c Least squares continued (538).srt |
8.46Кб |
| 1 - 3 - 01_01_c Least squares continued (538).txt |
5.08Кб |
| 1 - 3 - 02 01 Introduction to probability (613).mp4 |
9.14Мб |
| 1 - 3 - 02 01 Introduction to probability (613).srt |
9.92Кб |
| 1 - 3 - 02 01 Introduction to probability (613).txt |
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| 13396.html |
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| 1 - 3 - Components of Tidy Data (925).mp4 |
7.57Мб |
| 1 - 3 - Components of Tidy Data (925).srt |
16.34Кб |
| 1 - 3 - Components of Tidy Data (925).txt |
10.19Кб |
| 1 - 3 - Getting Help (8_52).mp4 |
6.71Мб |
| 1 - 3 - Getting Help (8_52).srt |
15.20Кб |
| 1 - 3 - Installing R Studio (Mac).mp4 |
2.61Мб |
| 1 - 3 - Installing R Studio (Mac).mp4 |
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| 1 - 3 - Installing R Studio (Mac).srt |
2.43Кб |
| 1 - 3 - Installing R Studio (Mac).srt |
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| 1 - 3 - Installing R Studio (Mac).txt |
1.47Кб |
| 1 - 3 - Installing R Studio (Mac).txt |
3.00Кб |
| 1 - 3 - Relative importance of steps (945).mp4 |
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| 1 - 3 - Relative importance of steps (945).srt |
18.41Кб |
| 1 - 3 - Relative importance of steps (945).txt |
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| 1 - 3 - Reproducible Research Concepts and Ideas (part 1) [711].mp4 |
10.08Мб |
| 1 - 3 - Reproducible Research Concepts and Ideas (part 1) [711].srt |
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| 1 - 3 - Reproducible Research Concepts and Ideas (part 1) [711].txt |
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| 1 - 4 - 01_01_d Regression through the origin (737).mp4 |
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| 1 - 4 - 01_01_d Regression through the origin (737).srt |
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| 1 - 4 - 01_01_d Regression through the origin (737).txt |
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| 1 - 4 - 02 02 Probability mass functions (714).mp4 |
10.48Мб |
| 1 - 4 - 02 02 Probability mass functions (714).srt |
11.44Кб |
| 1 - 4 - 02 02 Probability mass functions (714).txt |
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| 1 - 4 - Downloading Files (709).mp4 |
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| 1 - 4 - Downloading Files (709).srt |
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| 1 - 4 - Downloading Files (709).txt |
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| 1 - 4 - Finding Answers (4_35).mp4 |
3.82Мб |
| 1 - 4 - Finding Answers (4_35).srt |
8.09Кб |
| 1 - 4 - In and out of sample errors (657).mp4 |
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| 1 - 4 - In and out of sample errors (657).srt |
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| 1 - 4 - In and out of sample errors (657).txt |
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| 1 - 4 - Reproducible Research Concepts and Ideas (part 2) [527].mp4 |
7.51Мб |
| 1 - 4 - Reproducible Research Concepts and Ideas (part 2) [527].srt |
9.08Кб |
| 1 - 4 - Reproducible Research Concepts and Ideas (part 2) [527].txt |
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| 1 - 4 - Setting Your Working Directory (Windows).mp4 |
5.57Мб |
| 1 - 4 - Setting Your Working Directory (Windows).srt |
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| 1 - 4 - Setting Your Working Directory (Windows).txt |
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| 1 - 4 - Writing Code Setting Your Working Directory (Windows).mp4 |
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| 1 - 4 - Writing Code Setting Your Working Directory (Windows).srt |
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| 1 - 4 - Writing Code Setting Your Working Directory (Windows).txt |
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| 1 - 5 - 01_02_a Basic Notation and Background (326).mp4 |
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| 1 - 5 - 01_02_a Basic Notation and Background (326).txt |
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| 1 - 5 - 02 03 Probability density functions (1327).mp4 |
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20.48Кб |
| 1 - 5 - 02 03 Probability density functions (1327).txt |
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| 1 - 5 - Prediction study design (905).mp4 |
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| 1 - 5 - Prediction study design (905).txt |
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| 1 - 5 - Reading Local Files (455).mp4 |
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| 1 - 5 - Reading Local Files (455).txt |
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| 1 - 5 - Reproducible Research Concepts and Ideas (part 3) [326].mp4 |
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| 1 - 5 - Reproducible Research Concepts and Ideas (part 3) [326].txt |
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| 1 - 5 - R Programming Overview (2_12).mp4 |
1.73Мб |
| 1 - 5 - R Programming Overview (2_12).srt |
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| 1 - 5 - Setting Your Working Directory (Mac).mp4 |
7.24Мб |
| 1 - 5 - Setting Your Working Directory (Mac).srt |
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| 1 - 5 - Setting Your Working Directory (Mac).txt |
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| 1 - 5 - Writing Code Setting Your Working Directory (Mac).mp4 |
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11.58Кб |
| 1 - 5 - Writing Code Setting Your Working Directory (Mac).txt |
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| 1 - 6 - 01_02_b Normalization and Correlation (522).mp4 |
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| 1 - 6 - 01_02_b Normalization and Correlation (522).txt |
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| 1 - 6 - 03 01 Conditional Probability (323).mp4 |
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| 1 - 6 - 03 01 Conditional Probability (323).txt |
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| 1 - 6 - Getting Data Overview (1_34).mp4 |
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| 1 - 6 - Reading Excel Files (355).mp4 |
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| 1 - 6 - Reading Excel Files (355).txt |
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| 1 - 6 - Scripting Your Analysis [436].mp4 |
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| 1 - 6 - Scripting Your Analysis [436].txt |
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| 1 - 6 - Types of errors (1035).mp4 |
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| 1 - 6 - Use R version 3.1.1.mp4 |
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| 1 - 6 - Use R version 3.1.1.txt |
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| 1 - 7 - 01_03_a Linear Least Squares (601).mp4 |
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| 1 - 7 - 01_03_a Linear Least Squares (601).txt |
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| 1 - 7 - 03 02 Bayes rule (752).mp4 |
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| 1 - 7 - 03 02 Bayes rule (752).txt |
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| 1 - 7 - Exploratory Data Analysis Overview (1_21).mp4 |
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| 1 - 7 - Reading XML (1239).mp4 |
11.51Мб |
| 1 - 7 - Reading XML (1239).srt |
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| 1 - 7 - Reading XML (1239).txt |
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| 1 - 7 - Receiver Operating Characteristic (503).mp4 |
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| 1 - 7 - Receiver Operating Characteristic (503).txt |
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| 1 - 7 - Structure of a Data Analysis (part 1) [1229].mp4 |
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| 1 - 7 - Structure of a Data Analysis (part 1) [1229].txt |
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| 1 - 8 - 01_03_b Linear Least Squares Special Cases (422).mp4 |
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| 1 - 8 - 01_03_b Linear Least Squares Special Cases (422).txt |
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| 1 - 8 - 03 03 Independence (304).mp4 |
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| 1 - 8 - 03 03 Independence (304).txt |
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| 1 - 8 - Cross validation (820).mp4 |
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| 1 - 8 - Cross validation (820).txt |
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| 1 - 8 - Reading JSON (503).mp4 |
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| 1 - 8 - Reading JSON (503).txt |
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| 1 - 8 - Reproducible Research Overview (1_27).mp4 |
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2.45Кб |
| 1 - 8 - Structure of a Data Analysis (part 2) [1741].mp4 |
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| 1 - 8 - Structure of a Data Analysis (part 2) [1741].txt |
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| 1 - 9 - 01_03_c Linear Least Squares Solved (1133).mp4 |
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| 1 - 9 - 01_03_c Linear Least Squares Solved (1133).srt |
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| 1 - 9 - 01_03_c Linear Least Squares Solved (1133).txt |
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| 1 - 9 - 04 01 Expected values (514).mp4 |
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| 1 - 9 - 04 01 Expected values (514).txt |
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| 1 - 9 - Organizing Your Analysis [1105].mp4 |
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| 2 - 2 - 05 02 Variance simulation examples (246).mp4 |
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| 2 - 23 - Introduction to swirl.mp4 |
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| 2 - 2 - Motivating Shiny (149).mp4 |
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| 2 - 2 - Overview and History of R [1607].mp4 |
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| 2 - 2 - Principles of Analytic Graphics [1211].mp4 |
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| 2 - 3 - Exploratory Graphs (part 1) [928].mp4 |
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| 2 - 3 - Introduction to Git (4_49).mp4 |
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| 2 - 3 - Shiny 1 Introduction to Shiny (836).mp4 |
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| 2 - 4 - 01_06_a Residuals (251).mp4 |
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| 2 - 4 - 05 04 Variance data example (333).mp4 |
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| 2 - 4 - Exploratory Graphs (part 2) [513].mp4 |
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| 2 - 4 - Introduction to Github (3_53).mp4 |
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| 2 - 4 - Plotting predictors (1039).mp4 |
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| 2 - 4 - R Console Input and Evaluation [446].mp4 |
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| 2 - 4 - Reading From APIs (757).mp4 |
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| 2 - 4 - R Markdown Demonstration [724].mp4 |
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| 2 - 5 - 01_06_b Properties of Residuals (848).mp4 |
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| 2 - 5 - 06 01 Binomial distrubtion (302).mp4 |
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| 2 - 5 - Basic preprocessing (1052).mp4 |
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| 2 - 5 - Creating a Github Repository (5_51).mp4 |
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| 2 - 5 - Data Types - R Objects and Attributes [443].mp4 |
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| 2 - 5 - knitr (part 1) [705].mp4 |
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| 2 - 5 - Plotting Systems in R [934].mp4 |
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| 2 - 5 - Reading From Other Sources (444).mp4 |
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| 2 - 5 - Shiny 3 Creating a very basic prediction function (412).mp4 |
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| 2 - 6 - 01_06_c Residual Variation (1120).mp4 |
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| 2 - 6 - 06 02 Normal distribution (1512).mp4 |
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| 2 - 6 - Base Plotting System (part 1) [1120].mp4 |
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| 2 - 6 - Basic Git Commands (5_52).mp4 |
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| 2 - 6 - Covariate creation (1731).mp4 |
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| 2 - 6 - Data Types - Vectors and Lists [627].mp4 |
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| 2 - 6 - knitr (part 2) [411].mp4 |
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| 2 - 6 - Shiny 4 Working with images (239).mp4 |
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| 2 - 7 - 01_07_a Inference in Regression (128).mp4 |
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| 2 - 7 - 06 03 Poisson (608).mp4 |
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| 2 - 7 - Base Plotting System (part 2) [656].mp4 |
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| 2 - 7 - Basic Markdown (2_22).mp4 |
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| 2 - 7 - Data Types - Matrices [324].mp4 |
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| 2 - 7 - Preprocessing with principal components analysis (1407).mp4 |
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| 2 - 7 - Shiny 5 Discussion (448).mp4 |
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| 2 - 8 - 01_07_b T Tests for Regression Coefficients (1233).mp4 |
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| 2 - 8 - 07 01 Asymptotics and LLN (428).mp4 |
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| 2 - 8 - Base Plotting Demonstration [1656].mp4 |
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| 2 - 8 - Data Types - Factors [431].mp4 |
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| 2 - 8 - Installing R Packages (5_37).mp4 |
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| 2 - 8 - knitr (part 4) [921].mp4 |
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| 2 - 8 - More advanced shiny discussion, reactivity (930).mp4 |
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| 2 - 8 - Predicting with Regression (1222).mp4 |
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| 2 - 9 - 01_07_c Prediction Intervals (1413).mp4 |
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| 2 - 9 - 07 02 Asymptotics and the CLT (827).mp4 |
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| 2 - 9 - Data Types - Missing Values [210].mp4 |
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| 2 - 9 - Graphics Devices in R (part 1) [534].mp4 |
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| 2 - 9 - Installing Rtools (2_29).mp4 |
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| 2 - 9 - Introduction to Peer Assessment 1.mp4 |
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| 2 - 9 - More advanced shiny, the reactive function (550).mp4 |
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| 3 - 5 - Managing Data Frames with dplyr - Introduction.mp4 |
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| 3 - 5 - Model Based Prediction (1139).mp4 |
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| 3 - 5 - Reproducible Research Checklist (part 3) [654].mp4 |
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| 3 - 6 - 02_03_c More simulation examples 2 (252).mp4 |
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| 3 - 6 - Evidence-based Data Analysis (part 1) [351].mp4 |
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| 3 - 6 - Your First R Function [1029].mp4 |
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| 3 - 7 - 09 03 T tests (704).mp4 |
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| 3 - 7 - Evidence-based Data Analysis (part 2) [334].mp4 |
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| 3 - 7 - Functions (part 1) [917].mp4 |
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| 3 - 7 - RStudio Presenter 1 Introduction and getting started (459).mp4 |
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| 3 - 8 - 02_04_a Residuals (448).mp4 |
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| 3 - 9 - 02_04_b More on diagnostics (518).mp4 |
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| 3 - 9 - 10 01 Pvalues (750).mp4 |
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| 3 - 9 - Scoping Rules - Symbol Binding [1032].mp4 |
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| 4 - 10 - 03_04_a Fitting Functions (952).mp4 |
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| 4 - 10 - Working with Color in R Plots (part 2) [741].mp4 |
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| 4 - 11 - 03_04_b Fun Example (802).mp4 |
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| 4 - 1 - 11 01 Power (454).mp4 |
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| 4 - 12 - Working with Color in R Plots (part 4) [335].txt |
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| 4 - 1 - Caching Computations [1116].mp4 |
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| 4 - 1 - Editing Text Variables (1046).mp4 |
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| 4 - 1 - Hierarchical Clustering (part 1) [721].mp4 |
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| 4 - 1 - Hierarchical Clustering (part 1) [721].txt |
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| 4 - 1 - Loop Functions - lapply [923].mp4 |
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| 4 - 1 - Regularized regression (1320).mp4 |
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| 4 - 1 - R Packages (Part 1) (711).mp4 |
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| 4 - 2 - 03_01_b GLM Examples (621).mp4 |
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| 4 - 2 - 11 02 Calculating Power (1251).mp4 |
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| 4 - 2 - Case Study Air Pollution [1412].mp4 |
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| 4 - 2 - Case Study Air Pollution [1412].txt |
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| 4 - 2 - Combining predictors (711).mp4 |
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| 4 - 2 - Combining predictors (711).txt |
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| 4 - 2 - Hierarchical Clustering (part 2) [524].mp4 |
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| 4 - 2 - Hierarchical Clustering (part 2) [524].txt |
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| 4 - 2 - Loop Functions - apply [721].mp4 |
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| 4 - 2 - Regular Expressions I (516).mp4 |
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| 4 - 2 - Regular Expressions I (516).txt |
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| 4 - 2 - R Packages (Part 2) (1459).mp4 |
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| 4 - 2 - R Packages (Part 2) (1459).txt |
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| 4 - 3 - 03_01_c Variances and Quasi Likelihood (705).mp4 |
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| 4 - 3 - 11 03 Notes on power (457).mp4 |
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| 4 - 3 - Building R Packages Demo (1800).mp4 |
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| 4 - 3 - Case Study High Throughput Biology [3051].mp4 |
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