Udemy - Case Studies in Data Mining with R

Torrent Hash:
D4460CC83BB95B053D06D53A6E360247E38875DC
Number of Files:
130
Content Size:
7.14GB
Convert On:
2016-11-14
Magnet Link:
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File Name
Size
12 Prediction Tasks and Models/009 The Prediction Tasks.mp4
45.93MB
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12 Prediction Tasks and Models/001 Prelude to Modeling Stock Market Indices.mp4
18.73MB
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12 Prediction Tasks and Models/006 Random Forests Review.mp4
44.97MB
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12 Prediction Tasks and Models/007 Create Initial Model part 1.mp4
64.02MB
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12 Prediction Tasks and Models/005 Decision Trees part 4.mp4
46.5MB
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12 Prediction Tasks and Models/002 Decision Trees as Applicable to Case Study Tasks.mp4
46.82MB
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12 Prediction Tasks and Models/010 Precision and Recall and Confusion Matrices.mp4
47.85MB
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12 Prediction Tasks and Models/011 Neural Network Prediction Technique part 1.mp4
72.14MB
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12 Prediction Tasks and Models/003 Decision Trees part 2.mp4
60.62MB
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12 Prediction Tasks and Models/004 Decision Trees part 3.mp4
64.46MB
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12 Prediction Tasks and Models/008 Create Initial Model part 2.mp4
75.5MB
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12 Prediction Tasks and Models/012 Neural Network Prediction Technique part 2.mp4
64.81MB
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13 Prediction Models and Support Vector Machines SVMs/004 SVMs Applied to Stock Market Case.mp4
51.47MB
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13 Prediction Models and Support Vector Machines SVMs/006 Multivariate Adaptive Regressive Splines.mp4
50.8MB
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13 Prediction Models and Support Vector Machines SVMs/008 Two Strategies.mp4
47.44MB
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13 Prediction Models and Support Vector Machines SVMs/003 Review Support Vector Machines SVMs using Weather Data part 3.mp4
36.2MB
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13 Prediction Models and Support Vector Machines SVMs/007 How Will the Predictions be Used .mp4
49.7MB
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13 Prediction Models and Support Vector Machines SVMs/002 Review Support Vector Machines SVMs using Weather Data part 2.mp4
47.56MB
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13 Prediction Models and Support Vector Machines SVMs/009 Writing a Simulated Trader Function part 1.mp4
50.53MB
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13 Prediction Models and Support Vector Machines SVMs/001 Review Support Vector Machines SVMs using Weather Data part 1.mp4
43.34MB
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13 Prediction Models and Support Vector Machines SVMs/011 Evaluating our Simulated Trades.mp4
45.56MB
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13 Prediction Models and Support Vector Machines SVMs/010 Writing a Simulated Trader Function part 2.mp4
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03 Introduction to Predicting Algae Blooms/001 Predicting Algae Blooms.mp4
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03 Introduction to Predicting Algae Blooms/009 Imputation Replace Missing Values through Correlation.mp4
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03 Introduction to Predicting Algae Blooms/006 Imputation Dealing with Unknown or Missing Values.mp4
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03 Introduction to Predicting Algae Blooms/007 Imputation Removing Rows with Missing Values.mp4
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03 Introduction to Predicting Algae Blooms/008 Imputation Replace Missing Values with Central Measures.mp4
65.57MB
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03 Introduction to Predicting Algae Blooms/005 Data Visualization Conditioning Plots.mp4
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03 Introduction to Predicting Algae Blooms/003 Data Visualization and Summarization Histograms.mp4
63.39MB
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03 Introduction to Predicting Algae Blooms/002 Visualizing other Imputations with Lattice Plots.mp4
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03 Introduction to Predicting Algae Blooms/004 Data Visualization Boxplot and Identity Plot.mp4
48.07MB
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07 Pre-Processing the Data to Apply Methodology/006 Semi-Supervised Techniques.mp4
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07 Pre-Processing the Data to Apply Methodology/005 Defining Data Mining Tasks.mp4
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07 Pre-Processing the Data to Apply Methodology/008 Lift Charts and Precision Recall Curves.mp4
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07 Pre-Processing the Data to Apply Methodology/004 Pre-Processing the Data part 3.mp4
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01 A Brief Introduction to R and RStudio using Scripts/007 Generating Sequences.mp4
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01 A Brief Introduction to R and RStudio using Scripts/002 Introduction to R for Data Mining.mp4
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01 A Brief Introduction to R and RStudio using Scripts/012 Data Structures Dataframes part 1.mp4
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01 A Brief Introduction to R and RStudio using Scripts/006 Factors part 2.mp4
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01 A Brief Introduction to R and RStudio using Scripts/008 Indexing aka Subscripting or Subsetting.mp4
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01 A Brief Introduction to R and RStudio using Scripts/003 Data Structures Vectors part 1.mp4
43.78MB
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06 Examine the Data in the Fraudulent Transactions Case Study/002 Fraudulent Case Study Introduction.mp4
11.17MB
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06 Examine the Data in the Fraudulent Transactions Case Study/005 Continue Exploring the Data.mp4
49.26MB
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06 Examine the Data in the Fraudulent Transactions Case Study/001 Exercise Solution from Evaluating and Selecting Models.mp4
19.53MB
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06 Examine the Data in the Fraudulent Transactions Case Study/004 Exploring the Data with Eye toward Missingness.mp4
63.78MB
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06 Examine the Data in the Fraudulent Transactions Case Study/003 Prelude to Exploring the Data.mp4
19.48MB
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05 Evaluating and Selecting Models/004 Setting up K-Fold Evaluation part 2.mp4
54.83MB
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05 Evaluating and Selecting Models/003 Setting up K-Fold Evaluation part 1.mp4
72.19MB
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05 Evaluating and Selecting Models/008 Predicting from the Models.mp4
75.05MB
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05 Evaluating and Selecting Models/009 Comparing the Predictions.mp4
66.94MB
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05 Evaluating and Selecting Models/007 Finish Evaluating Models.mp4
65.73MB
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05 Evaluating and Selecting Models/001 Alternative Model Evaluation Criteria.mp4
76.1MB
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05 Evaluating and Selecting Models/006 Best Model part 2.mp4
55.58MB
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05 Evaluating and Selecting Models/002 Introduction to K-Fold Cross-Validation.mp4
66.04MB
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05 Evaluating and Selecting Models/005 Best Model part 1.mp4
44.43MB
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08 Methodology to Find Outliers Fraudulent Transactions/004 Cumulative Recall Chart.mp4
52.34MB
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08 Methodology to Find Outliers Fraudulent Transactions/009 Experimental Methodology to find Outliers part 4.mp4
63.94MB
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08 Methodology to Find Outliers Fraudulent Transactions/001 Exercise from Previous Session.mp4
12.82MB
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08 Methodology to Find Outliers Fraudulent Transactions/003 Review Lift Charts and Precision Recall Curves.mp4
49.27MB
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08 Methodology to Find Outliers Fraudulent Transactions/007 Experimental Methodology to find Outliers part 2.mp4
70.71MB
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08 Methodology to Find Outliers Fraudulent Transactions/005 Creating More Functions for the Experimental Methodology.mp4
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08 Methodology to Find Outliers Fraudulent Transactions/002 Review Precision and Recall.mp4
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08 Methodology to Find Outliers Fraudulent Transactions/006 Experimental Methodology to find Outliers part 1.mp4
57.49MB
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08 Methodology to Find Outliers Fraudulent Transactions/010 Experimental Methodology to find Outliers part 5.mp4
33.41MB
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08 Methodology to Find Outliers Fraudulent Transactions/008 Experimental Methodology to find Outliers part 3.mp4
67.48MB
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02 Inputting and Outputting Data and Text/005 Example Program powers.R.mp4
48.33MB
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02 Inputting and Outputting Data and Text/002 Using the scan Function for Input part 2.mp4
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02 Inputting and Outputting Data and Text/003 Using readline, cat and print Functions.mp4
44MB
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02 Inputting and Outputting Data and Text/008 Reading and Writing Files part 2.mp4
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02 Inputting and Outputting Data and Text/004 Using readLines Function and Text Data.mp4
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02 Inputting and Outputting Data and Text/007 Reading and Writing Files part 1.mp4
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10 Sidebar on Boosting/004 Replicating Adaboost using Rpart part 2.mp4
83.57MB
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10 Sidebar on Boosting/006 Boosting Exercise.mp4
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10 Sidebar on Boosting/002 Boosting Demo Basics using R.mp4
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10 Sidebar on Boosting/003 Replicating Adaboost using Rpart Recursive Partitioning Package.mp4
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04 Obtaining Prediction Models/003 Examine Alternative Regression Models.mp4
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04 Obtaining Prediction Models/002 Creating Prediction Models.mp4
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04 Obtaining Prediction Models/001 Read in Data Files.mp4
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04 Obtaining Prediction Models/004 Regression Trees.mp4
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09 The Data Mining Tasks to Find the Fraudulent Transactions/003 Review of Fraud Case part 3.mp4
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09 The Data Mining Tasks to Find the Fraudulent Transactions/001 Review of Fraud Case part 1.mp4
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09 The Data Mining Tasks to Find the Fraudulent Transactions/005 Local Outlier Factors.mp4
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09 The Data Mining Tasks to Find the Fraudulent Transactions/004 Baseline Boxplot Rule.mp4
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09 The Data Mining Tasks to Find the Fraudulent Transactions/009 SMOTE and Naive Bayes part 2.mp4
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09 The Data Mining Tasks to Find the Fraudulent Transactions/007 Supervised and Unsupervised Approaches.mp4
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09 The Data Mining Tasks to Find the Fraudulent Transactions/002 Review of Fraud Case part 2.mp4
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09 The Data Mining Tasks to Find the Fraudulent Transactions/008 SMOTE and Naive Bayes part 1.mp4
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09 The Data Mining Tasks to Find the Fraudulent Transactions/006 Plotting Everything.mp4
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14 Model Evaluation and Selection/001 Quick Review of Case Study Support Vector Machines SVMs.mp4
55.98MB
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14 Model Evaluation and Selection/010 Continue Evaluating part 2.mp4
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14 Model Evaluation and Selection/005 So What Approach is Recommended .mp4
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14 Model Evaluation and Selection/004 Why You Cannot Randomly Resample Records.mp4
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14 Model Evaluation and Selection/011 Continue Evaluating part 3.mp4
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14 Model Evaluation and Selection/003 Evaluating Policy One and Policy Two.mp4
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14 Model Evaluation and Selection/006 Experimental Model Comparisons part 1.mp4
57.08MB
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14 Model Evaluation and Selection/008 Set Up Ranksystems.mp4
78.29MB
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14 Model Evaluation and Selection/002 Begin Evaluating Models.mp4
71.81MB
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14 Model Evaluation and Selection/009 Continue Evaluating part 1.mp4
55.79MB
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14 Model Evaluation and Selection/007 Experimental Model Comparisons part 2.mp4
62.74MB
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