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Case Studies in Data Mining with R
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04 Obtaining Prediction Models (Size: 7.14 GB) (Files: 131)
04 Obtaining Prediction Models
002 Creating Prediction Models.mp4
001 Read in Data Files.mp4
003 Examine Alternative Regression Models.mp4
004 Regression Trees.mp4
005 Strategy for Pruning Trees.mp4
01 A Brief Introduction to R and RStudio using Scripts
002 Introduction to R for Data Mining.mp4
003 Data Structures Vectors part 1.mp4
004 Data Structures Vectors part 2.mp4
005 Factors part 1.mp4
006 Factors part 2.mp4
007 Generating Sequences.mp4
008 Indexing aka Subscripting or Subsetting.mp4
009 Data Structures Matrices and Arrays part 1.mp4
010 Data Structures Matrices and Arrays part 2.mp4
011 Data Structures Lists.mp4
012 Data Structures Dataframes part 1.mp4
013 Data Structures Dataframes part 2.mp4
014 Creating New Functions.mp4
001 Course Overview.mp4
02 Inputting and Outputting Data and Text
001 Using the scan Function for Input part 1.mp4
002 Using the scan Function for Input part 2.mp4
003 Using readline, cat and print Functions.mp4
004 Using readLines Function and Text Data.mp4
005 Example Program powers.R.mp4
006 Example Program quad2b.R.mp4
007 Reading and Writing Files part 1.mp4
008 Reading and Writing Files part 2.mp4
03 Introduction to Predicting Algae Blooms
001 Predicting Algae Blooms.mp4
002 Visualizing other Imputations with Lattice Plots.mp4
003 Data Visualization and Summarization Histograms.mp4
004 Data Visualization Boxplot and Identity Plot.mp4
005 Data Visualization Conditioning Plots.mp4
006 Imputation Dealing with Unknown or Missing Values.mp4
007 Imputation Removing Rows with Missing Values.mp4
008 Imputation Replace Missing Values with Central Measures.mp4
009 Imputation Replace Missing Values through Correlation.mp4
05 Evaluating and Selecting Models
001 Alternative Model Evaluation Criteria.mp4
002 Introduction to K-Fold Cross-Validation.mp4
003 Setting up K-Fold Evaluation part 1.mp4
004 Setting up K-Fold Evaluation part 2.mp4
005 Best Model part 1.mp4
006 Best Model part 2.mp4
007 Finish Evaluating Models.mp4
008 Predicting from the Models.mp4
009 Comparing the Predictions.mp4
06 Examine the Data in the Fraudulent Transactions Case Study
001 Exercise Solution from Evaluating and Selecting Models.mp4
002 Fraudulent Case Study Introduction.mp4
003 Prelude to Exploring the Data.mp4
004 Exploring the Data with Eye toward Missingness.mp4
005 Continue Exploring the Data.mp4
07 Pre-Processing the Data to Apply Methodology
001 Review the Data and the Focus of the Fraudulent Transactions Case.mp4
002 Pre-Processing the Data part 1.mp4
003 Pre-Processing the Data part 2.mp4
004 Pre-Processing the Data part 3.mp4
005 Defining Data Mining Tasks.mp4
006 Semi-Supervised Techniques.mp4
007 Precision and Recall.mp4
008 Lift Charts and Precision Recall Curves.mp4
08 Methodology to Find Outliers Fraudulent Transactions
001 Exercise from Previous Session.mp4
002 Review Precision and Recall.mp4
003 Review Lift Charts and Precision Recall Curves.mp4
004 Cumulative Recall Chart.mp4
005 Creating More Functions for the Experimental Methodology.mp4
006 Experimental Methodology to find Outliers part 1.mp4
007 Experimental Methodology to find Outliers part 2.mp4
008 Experimental Methodology to find Outliers part 3.mp4
009 Experimental Methodology to find Outliers part 4.mp4
010 Experimental Methodology to find Outliers part 5.mp4
09 The Data Mining Tasks to Find the Fraudulent Transactions
001 Review of Fraud Case part 1.mp4
002 Review of Fraud Case part 2.mp4
003 Review of Fraud Case part 3.mp4
004 Baseline Boxplot Rule.mp4
005 Local Outlier Factors.mp4
006 Plotting Everything.mp4
007 Supervised and Unsupervised Approaches.mp4
008 SMOTE and Naive Bayes part 1.mp4
009 SMOTE and Naive Bayes part 2.mp4
10 Sidebar on Boosting
001 Introduction to Boosting from Rattle course.mp4
002 Boosting Demo Basics using R.mp4
003 Replicating Adaboost using Rpart Recursive Partitioning Package.mp4
004 Replicating Adaboost using Rpart part 2.mp4
005 Boosting Extensions and Variants.mp4
006 Boosting Exercise.mp4
11 Introduction to Stock Market Prediction Case Study
001 Introduction to Stock Market Case Study and Materials.mp4
002 Case Study Background and Data part 1.mp4
003 Case Study Background and Data part 2.mp4
004 Accessing the Data part 1.mp4
005 Accessing the Data part 2.mp4
006 Defining the Prediction Tasks part 1.mp4
007 Defining the Prediction Tasks part 2.mp4
008 Defining the Prediction Tasks part 3.mp4
009 Defining the Prediction Tasks part 4.mp4
010 Defining the Prediction Tasks part 5.mp4
12 Prediction Tasks and Models
001 Prelude to Modeling Stock Market Indices.mp4
002 Decision Trees as Applicable to Case Study Tasks.mp4
003 Decision Trees part 2.mp4
004 Decision Trees part 3.mp4
005 Decision Trees part 4.mp4
006 Random Forests Review.mp4
007 Create Initial Model part 1.mp4
008 Create Initial Model part 2.mp4
009 The Prediction Tasks.mp4
010 Precision and Recall and Confusion Matrices.mp4
011 Neural Network Prediction Technique part 1.mp4
012 Neural Network Prediction Technique part 2.mp4
13 Prediction Models and Support Vector Machines SVMs
001 Review Support Vector Machines SVMs using Weather Data part 1.mp4
002 Review Support Vector Machines SVMs using Weather Data part 2.mp4
003 Review Support Vector Machines SVMs using Weather Data part 3.mp4
004 SVMs Applied to Stock Market Case.mp4
005 Kernel Functions.mp4
006 Multivariate Adaptive Regressive Splines.mp4
007 How Will the Predictions be Used .mp4
008 Two Strategies.mp4
009 Writing a Simulated Trader Function part 1.mp4
010 Writing a Simulated Trader Function part 2.mp4
011 Evaluating our Simulated Trades.mp4
14 Model Evaluation and Selection
001 Quick Review of Case Study Support Vector Machines SVMs.mp4
002 Begin Evaluating Models.mp4
003 Evaluating Policy One and Policy Two.mp4
004 Why You Cannot Randomly Resample Records.mp4
005 So What Approach is Recommended .mp4
006 Experimental Model Comparisons part 1.mp4
007 Experimental Model Comparisons part 2.mp4
008 Set Up Ranksystems.mp4
009 Continue Evaluating part 1.mp4
010 Continue Evaluating part 2.mp4
011 Continue Evaluating part 3.mp4
15 Wrap Up Stock Market Case Study
001 Prologue to Last Session Wrap-Up.mp4
002 Last Session Wrap-Up part 1.mp4
003 Last Session Wrap-Up part 2.mp4
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