Udemy - Case Studies in Data Mining with R
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Torrent File Content (130 files)
Udemy - Case Studies in Data Mining with R
12 Prediction Tasks and Models
009 The Prediction Tasks.mp4 -
12 Prediction Tasks and Models
009 The Prediction Tasks.mp4 -
45.93 MB
001 Prelude to Modeling Stock Market Indices.mp4 -
18.73 MB
006 Random Forests Review.mp4 -
44.97 MB
007 Create Initial Model part 1.mp4 -
64.02 MB
005 Decision Trees part 4.mp4 -
46.5 MB
002 Decision Trees as Applicable to Case Study Tasks.mp4 -
46.82 MB
010 Precision and Recall and Confusion Matrices.mp4 -
47.85 MB
011 Neural Network Prediction Technique part 1.mp4 -
72.14 MB
003 Decision Trees part 2.mp4 -
60.62 MB
004 Decision Trees part 3.mp4 -
64.46 MB
008 Create Initial Model part 2.mp4 -
75.5 MB
012 Neural Network Prediction Technique part 2.mp4 -
64.81 MB
13 Prediction Models and Support Vector Machines SVMs
004 SVMs Applied to Stock Market Case.mp4 -
004 SVMs Applied to Stock Market Case.mp4 -
51.47 MB
006 Multivariate Adaptive Regressive Splines.mp4 -
50.8 MB
008 Two Strategies.mp4 -
47.44 MB
003 Review Support Vector Machines SVMs using Weather Data part 3.mp4 -
36.2 MB
007 How Will the Predictions be Used .mp4 -
49.7 MB
002 Review Support Vector Machines SVMs using Weather Data part 2.mp4 -
47.56 MB
009 Writing a Simulated Trader Function part 1.mp4 -
50.53 MB
005 Kernel Functions.mp4 -
40.55 MB
001 Review Support Vector Machines SVMs using Weather Data part 1.mp4 -
43.34 MB
011 Evaluating our Simulated Trades.mp4 -
45.56 MB
010 Writing a Simulated Trader Function part 2.mp4 -
40.69 MB
03 Introduction to Predicting Algae Blooms
001 Predicting Algae Blooms.mp4 -
001 Predicting Algae Blooms.mp4 -
70.92 MB
009 Imputation Replace Missing Values through Correlation.mp4 -
85.69 MB
006 Imputation Dealing with Unknown or Missing Values.mp4 -
80.13 MB
007 Imputation Removing Rows with Missing Values.mp4 -
57.39 MB
008 Imputation Replace Missing Values with Central Measures.mp4 -
65.57 MB
005 Data Visualization Conditioning Plots.mp4 -
60.59 MB
003 Data Visualization and Summarization Histograms.mp4 -
63.39 MB
002 Visualizing other Imputations with Lattice Plots.mp4 -
63.75 MB
004 Data Visualization Boxplot and Identity Plot.mp4 -
48.07 MB
07 Pre-Processing the Data to Apply Methodology
006 Semi-Supervised Techniques.mp4 -
006 Semi-Supervised Techniques.mp4 -
47.79 MB
005 Defining Data Mining Tasks.mp4 -
81.59 MB
008 Lift Charts and Precision Recall Curves.mp4 -
87.05 MB
004 Pre-Processing the Data part 3.mp4 -
91.74 MB
003 Pre-Processing the Data part 2.mp4 -
56.23 MB
002 Pre-Processing the Data part 1.mp4 -
63.08 MB
007 Precision and Recall.mp4 -
54.53 MB
001 Review the Data and the Focus of the Fraudulent Transactions Case.mp4 -
79.02 MB
01 A Brief Introduction to R and RStudio using Scripts
001 Course Overview.mp4 -
001 Course Overview.mp4 -
7.84 MB
013 Data Structures Dataframes part 2.mp4 -
57.03 MB
014 Creating New Functions.mp4 -
69.69 MB
005 Factors part 1.mp4 -
40.95 MB
011 Data Structures Lists.mp4 -
61.81 MB
009 Data Structures Matrices and Arrays part 1.mp4 -
42.79 MB
010 Data Structures Matrices and Arrays part 2.mp4 -
39.44 MB
007 Generating Sequences.mp4 -
84.51 MB
004 Data Structures Vectors part 2.mp4 -
47.78 MB
002 Introduction to R for Data Mining.mp4 -
87.9 MB
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