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| 001predictionMotivation.pdf |
2.14MB |
| 002whatIsPrediction.pdf |
1.81MB |
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861.73KB |
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1.68MB |
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335.56KB |
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| 009whatData.pdf |
1.67MB |
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| 01_01_obtainingDataMotivation.pdf |
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| 01_01_seriesMotivation.pdf |
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| 01_03_findingAnswers.pdf |
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| 011dataSlicing.pdf |
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| 013plottingPredictors.pdf |
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| 015covariateCreation.pdf |
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| 016preProcessingPCA.pdf |
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| 017predictingWithRegression.pdf |
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| 018predictingWithRegressionMC.pdf |
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| 019predictingWithTrees.pdf |
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| 02_01_readingMySQL.pdf |
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| 02_03_commandLineInterface.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 |
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| 024regularizedRegression.pdf |
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| 025combiningPredictors.pdf |
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| 026unsupervisedPrediction.pdf |
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| 027forecasting.pdf |
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| 03_01_typesOfQuestions.pdf |
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| 03_02_whatIsData.pdf |
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| 10 - 1 - Homework 1.mp4 |
27.64MB |
| 10 - 2 - Homework 2.mp4 |
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| 10 - 3 - Homework 3.mp4 |
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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 - 1 - 01_01_a Introduction to regression (410).mp4 |
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| 1 - 10 - Regression Models Overview (1_46).mp4 |
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| 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).txt |
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| 1 - 11 - Practical Machine Learning Overview (1_31).mp4 |
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| 1 - 13 - Installing R on Windows (3_20) {Roger Peng}.mp4 |
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| 1 - 1 - Installing R on Windows.mp4 |
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| 1 - 1 - Introduction.mp4 |
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| 1 - 1 - Obtaining Data Motivation (538).mp4 |
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| 1 - 1 - Obtaining Data Motivation (538).txt |
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| 1 - 1 - Series Motivation (12_03).mp4 |
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| 1 - 2 - 01_01_b Basic least squares (541).mp4 |
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| 1 - 2 - Installing R on a Mac.mp4 |
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| 1 - 2 - Raw and Processed Data (707).mp4 |
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| 1 - 2 - The Data Scientist_'s Toolbox (5_09).mp4 |
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| 1 - 3 - Getting Help (8_52).mp4 |
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| 1 - 3 - Reproducible Research Concepts and Ideas (part 1) [711].mp4 |
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| 1 - 4 - 01_01_d Regression through the origin (737).mp4 |
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| 1 - 4 - Downloading Files (709).mp4 |
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| 1 - 4 - Setting Your Working Directory (Windows).mp4 |
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| 1 - 4 - Writing Code Setting Your Working Directory (Windows).mp4 |
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| 1 - 5 - 01_02_a Basic Notation and Background (326).mp4 |
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| 1 - 5 - 02 03 Probability density functions (1327).mp4 |
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| 1 - 5 - Prediction study design (905).mp4 |
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| 1 - 5 - Reading Local Files (455).mp4 |
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| 1 - 5 - Reproducible Research Concepts and Ideas (part 3) [326].mp4 |
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| 1 - 6 - Scripting Your Analysis [436].mp4 |
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| 1 - 7 - 01_03_a Linear Least Squares (601).mp4 |
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| 1 - 7 - 03 02 Bayes rule (752).mp4 |
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| 1 - 7 - Exploratory Data Analysis Overview (1_21).mp4 |
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| 1 - 7 - Reading XML (1239).mp4 |
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| 1 - 7 - Receiver Operating Characteristic (503).mp4 |
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| 1 - 7 - Structure of a Data Analysis (part 1) [1229].mp4 |
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| 1 - 8 - 01_03_b Linear Least Squares Special Cases (422).mp4 |
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| 1 - 8 - Reproducible Research Overview (1_27).mp4 |
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| 1 - 9 - 04 01 Expected values (514).mp4 |
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| 1 - 9 - Organizing Your Analysis [1105].mp4 |
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| 1 - 9 - Statistical Inference Overview (1_06).mp4 |
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| 1 - 9 - The data.table Package (1118).mp4 |
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| 1 - 9 - What data should you use (601).mp4 |
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| 2 - 1 - 01_05_a Statistical Linear Regression Models (558).mp4 |
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| 2 - 13 - Intro to rCharts and GoogleVis (101).mp4 |
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| 2 - 18 - Subsetting - Lists.mp4 |
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| 2 - 1 - Caret package (616).mp4 |
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| 2 - 1 - Coding Standards in R [859].mp4 |
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| 2 - 1 - Introduction.mp4 |
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| 2 - 1 - Introduction to Data Products (105).mp4 |
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| 2 - 1 - Introduction to Data Products (105).txt |
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| 2 - 1 - Reading from MySQL (1444).mp4 |
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| 2 - 2 - 01_05_b Interpreting Regression Coefficients (628).mp4 |
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| 2 - 2 - 05 02 Variance simulation examples (246).mp4 |
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| 2 - 20 - Subsetting - Partial Matching.mp4 |
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| 2 - 22 - Vectorized Operations [346].mp4 |
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| 2 - 2 - Command Line Interface (16_04).mp4 |
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| 2 - 2 - Markdown [515].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 - Getting Help [1353].mp4 |
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| 2 - 3 - Introduction to Git (4_49).mp4 |
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| 2 - 3 - R Markdown [635].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 - 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 - 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 - 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 - knitr (part 3) [446].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 |
2.42MB |
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| 2 - 9 - Graphics Devices in R (part 1) [534].mp4 |
4.84MB |
| 2 - 9 - Graphics Devices in R (part 1) [534].srt |
9.86KB |
| 2 - 9 - Graphics Devices in R (part 1) [534].txt |
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| 2 - 9 - Installing Rtools (2_29).mp4 |
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| 2 - 9 - Introduction to Peer Assessment 1.mp4 |
8.43MB |
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| 2 - 9 - Introduction to Peer Assessment 1.txt |
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| 2 - 9 - More advanced shiny, the reactive function (550).mp4 |
6.82MB |
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| 2 - 9 - Predicting with Regression Multiple Covariates (1112).mp4 |
14.50MB |
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| 3 - 10 - 02_04_c Residuals and diagnostics examples (632).mp4 |
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| 3 - 10 - 10 02 Pvalue further examples (554).mp4 |
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| 3 - 1 - 02_02_a Multivariable regression examples (1438).mp4 |
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| 3 - 1 - 02_02_a Multivariable regression examples (1438).txt |
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| 3 - 1 - 08 01 T confidence intervals (912).mp4 |
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| 3 - 10 - Evidence-based Data Analysis (part 5) [756].mp4 |
9.34MB |
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| 3 - 10 - Evidence-based Data Analysis (part 5) [756].txt |
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| 3 - 10 - Scoping Rules - R Scoping Rules [834].mp4 |
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| 3 - 10 - Very quick introduction to gh-pages.mp4 |
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| 3 - 11 - 02_05_a Some thoughts on model selection (638).mp4 |
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| 3 - 11 - 02_05_a Some thoughts on model selection (638).txt |
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| 3 - 11 - Introduction to Peer Assessment 2.mp4 |
1.06MB |
| 3 - 11 - Introduction to Peer Assessment 2.srt |
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| 3 - 11 - Introduction to Peer Assessment 2.txt |
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| 3 - 11 - Scoping Rules - Optimization Example (OPTIONAL) [921].mp4 |
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| 3 - 12 - 02_05_b Variance inflation (1033).mp4 |
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| 3 - 12 - Coding Standards [859].mp4 |
14.81MB |
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| 3 - 13 - 02_05_c Model comparison and search (805).mp4 |
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| 3 - 1 - Communicating Results [654].mp4 |
8.20MB |
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12.85KB |
| 3 - 1 - Communicating Results [654].txt |
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| 3 - 1 - Control Structures - Introduction [054].mp4 |
1.08MB |
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1.41KB |
| 3 - 1 - Control Structures - Introduction [054].txt |
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| 3 - 1 - Lattice Plotting System (part 1) [622].mp4 |
4.92MB |
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10.92KB |
| 3 - 1 - Lattice Plotting System (part 1) [622].txt |
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| 3 - 1 - Predicting with trees (1251).mp4 |
16.18MB |
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20.46KB |
| 3 - 1 - Predicting with trees (1251).txt |
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| 3 - 1 - Presenting Data Analysis Writing a Data Report (318).mp4 |
7.35MB |
| 3 - 1 - Subsetting and Sorting (651).mp4 |
4.94MB |
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| 3 - 1 - Types of Questions (9_09).mp4 |
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| 3 - 2 - 02_02_b Dummy variables (2708).mp4 |
35.23MB |
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| 3 - 2 - 08 02 T confidence intervals example (406).mp4 |
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| 3 - 2 - Bagging (913).mp4 |
11.45MB |
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| 3 - 2 - Bagging (913).txt |
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| 3 - 2 - Control Structures - If-else [158].mp4 |
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| 3 - 2 - Lattice Plotting System (part 2) [612].mp4 |
4.96MB |
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10.89KB |
| 3 - 2 - Lattice Plotting System (part 2) [612].txt |
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| 3 - 2 - RPubs [321].mp4 |
5.22MB |
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| 3 - 2 - Slidify intro (532).mp4 |
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| 3 - 2 - Summarizing Data (1137).mp4 |
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| 3 - 2 - What is Data_ (5_15).mp4 |
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| 3 - 3 - 02_02_c Interactions (2629).mp4 |
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| 3 - 3 - 02_02_c Interactions (2629).txt |
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| 3 - 3 - 08 03 Independent group T intervals (1436).mp4 |
21.08MB |
| 3 - 3 - Control Structures - For loops [425].mp4 |
4.85MB |
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| 3 - 3 - Control Structures - For loops [425].txt |
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| 3 - 3 - Creating New Variables (1032).mp4 |
8.50MB |
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| 3 - 3 - Creating New Variables (1032).txt |
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| 3 - 3 - ggplot2 (part 1) [626].mp4 |
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| 3 - 3 - Random Forests (649).mp4 |
8.73MB |
| 3 - 3 - Random Forests (649).srt |
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| 3 - 3 - Random Forests (649).txt |
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| 3 - 3 - Reproducible Research Checklist (part 1) [822].mp4 |
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| 3 - 3 - Reproducible Research Checklist (part 1) [822].txt |
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| 3 - 4 - ggplot2 (part 2) [1353].mp4 |
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| 3 - 5 - 02_03_b More simulation exercises (353).mp4 |
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| 3 - 5 - 09 01 Hypothesis testing (417).mp4 |
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| 3 - 5 - Managing Data Frames with dplyr - Introduction.mp4 |
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| 3 - 6 - Evidence-based Data Analysis (part 1) [351].txt |
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| 3 - 6 - Your First R Function [1029].mp4 |
16.48MB |
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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 |
4.10MB |
| 3 - 7 - Evidence-based Data Analysis (part 2) [334].srt |
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| 3 - 7 - Evidence-based Data Analysis (part 2) [334].txt |
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| 3 - 7 - Functions (part 1) [917].mp4 |
6.46MB |
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| 3 - 7 - ggplot2 (part 5) [811].mp4 |
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| 3 - 7 - Merging Data (619).mp4 |
5.69MB |
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| 3 - 7 - RStudio Presenter 1 Introduction and getting started (459).mp4 |
8.61MB |
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7.22KB |
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| 3 - 8 - 02_04_a Residuals (448).mp4 |
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| 3 - 8 - Evidence-based Data Analysis (part 3) [425].mp4 |
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| 3 - 8 - Functions (part 2) [713].mp4 |
4.86MB |
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17.63MB |
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15.61KB |
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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 |
12.91MB |
| 3 - 9 - Evidence-based Data Analysis (part 4) [447].mp4 |
5.54MB |
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| 3 - 9 - Evidence-based Data Analysis (part 4) [447].txt |
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| 3 - 9 - RStudio Presenter 3 Discussion and comparison with Slidify (413).mp4 |
5.75MB |
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| 3 - 9 - Scoping Rules - Symbol Binding [1032].mp4 |
7.60MB |
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17.47KB |
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| 4 - 10 - 03_04_a Fitting Functions (952).mp4 |
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| 4 - 1 - 03_01_a Generalized Linear Models (232).mp4 |
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| 4 - 10 - Working with Color in R Plots (part 2) [741].mp4 |
5.46MB |
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| 4 - 11 - 03_04_b Fun Example (802).mp4 |
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| 4 - 1 - 11 01 Power (454).mp4 |
7.98MB |
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4.80MB |
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2.73MB |
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5.81KB |
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| 4 - 1 - Caching Computations [1116].mp4 |
16.50MB |
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20.98KB |
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| 4 - 1 - Editing Text Variables (1046).mp4 |
8.98MB |
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17.24KB |
| 4 - 1 - Editing Text Variables (1046).txt |
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| 4 - 1 - Hierarchical Clustering (part 1) [721].mp4 |
5.03MB |
| 4 - 1 - Hierarchical Clustering (part 1) [721].srt |
13.32KB |
| 4 - 1 - Hierarchical Clustering (part 1) [721].txt |
8.26KB |
| 4 - 1 - Loop Functions - lapply [923].mp4 |
6.10MB |
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15.80KB |
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9.69KB |
| 4 - 1 - Regularized regression (1320).mp4 |
16.76MB |
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21.17KB |
| 4 - 1 - Regularized regression (1320).txt |
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| 4 - 1 - R Packages (Part 1) (711).mp4 |
9.07MB |
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12.93KB |
| 4 - 1 - R Packages (Part 1) (711).txt |
8.08KB |
| 4 - 2 - 03_01_b GLM Examples (621).mp4 |
7.90MB |
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7.45KB |
| 4 - 2 - 03_01_b GLM Examples (621).txt |
4.48KB |
| 4 - 2 - 11 02 Calculating Power (1251).mp4 |
17.83MB |
| 4 - 2 - Case Study Air Pollution [1412].mp4 |
20.91MB |
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22.95KB |
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14.21KB |
| 4 - 2 - Combining predictors (711).mp4 |
9.31MB |
| 4 - 2 - Combining predictors (711).srt |
10.87KB |
| 4 - 2 - Combining predictors (711).txt |
6.74KB |
| 4 - 2 - Hierarchical Clustering (part 2) [524].mp4 |
3.97MB |
| 4 - 2 - Hierarchical Clustering (part 2) [524].srt |
9.49KB |
| 4 - 2 - Hierarchical Clustering (part 2) [524].txt |
5.73KB |
| 4 - 2 - Loop Functions - apply [721].mp4 |
4.96MB |
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12.24KB |
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7.56KB |
| 4 - 2 - Regular Expressions I (516).mp4 |
4.15MB |
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8.09KB |
| 4 - 2 - Regular Expressions I (516).txt |
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| 4 - 2 - R Packages (Part 2) (1459).mp4 |
17.10MB |
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25.74KB |
| 4 - 2 - R Packages (Part 2) (1459).txt |
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| 4 - 3 - 03_01_c Variances and Quasi Likelihood (705).mp4 |
9.01MB |
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10.56KB |
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| 4 - 3 - 11 03 Notes on power (457).mp4 |
7.03MB |
| 4 - 3 - Building R Packages Demo (1800).mp4 |
31.99MB |
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26.00KB |
| 4 - 3 - Building R Packages Demo (1800).txt |
15.45KB |
| 4 - 3 - Case Study High Throughput Biology [3051].mp4 |
50.56MB |
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56.09KB |
| 4 - 3 - Case Study High Throughput Biology [3051].txt |
33.47KB |
| 4 - 3 - Forecasting.mp4 |
10.60MB |
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12.24KB |
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| 4 - 3 - Hierarchical Clustering (part 3) [734].mp4 |
5.36MB |
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13.30KB |
| 4 - 3 - Hierarchical Clustering (part 3) [734].txt |
8.11KB |
| 4 - 3 - Loop Functions - mapply [446].mp4 |
3.21MB |
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7.54KB |
| 4 - 3 - Loop Functions - mapply [446].txt |
4.69KB |
| 4 - 3 - Regular Expressions II (800).mp4 |
6.46MB |
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11.69KB |
| 4 - 3 - Regular Expressions II (800).txt |
7.28KB |
| 4 - 4 - 03_02_a Binary Data GLMs (711).mp4 |
8.93MB |
| 4 - 4 - 03_02_a Binary Data GLMs (711).srt |
9.46KB |
| 4 - 4 - 03_02_a Binary Data GLMs (711).txt |
5.73KB |
| 4 - 4 - 11 04 T test power (802).mp4 |
11.62MB |
| 4 - 4 - Commentaries on Data Analysis.mp4 |
6.80MB |
| 4 - 4 - K-Means Clustering (part 1) [546].mp4 |
3.74MB |
| 4 - 4 - K-Means Clustering (part 1) [546].srt |
10.45KB |
| 4 - 4 - K-Means Clustering (part 1) [546].txt |
6.39KB |
| 4 - 4 - Loop Functions - tapply [317].mp4 |
2.17MB |
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5.15KB |
| 4 - 4 - Loop Functions - tapply [317].txt |
3.16KB |
| 4 - 4 - R Classes and Methods (Part 1) (1350).mp4 |
18.12MB |
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22.67KB |
| 4 - 4 - R Classes and Methods (Part 1) (1350).txt |
14.02KB |
| 4 - 4 - Unsupervised Prediction (424).mp4 |
5.40MB |
| 4 - 4 - Unsupervised Prediction (424).srt |
7.22KB |
| 4 - 4 - Unsupervised Prediction (424).txt |
4.54KB |
| 4 - 4 - Working with Dates (602).mp4 |
4.70MB |
| 4 - 4 - Working with Dates (602).srt |
9.92KB |
| 4 - 4 - Working with Dates (602).txt |
6.06KB |
| 4 - 5 - 03_02_b GLMs and Odds (1403).mp4 |
17.63MB |
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18.10KB |
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| 4 - 5 - 12 Multiple Comparisons (2522).mp4 |
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