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  • File Format : MP4
  • Indexed time : 26 days ago
  • Last Check : 26 days ago
  • InforHash : d4460cc83bb95b053d06d53a6e360247e38875dc

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Udemy - Case Studies in Data Mining with R TorrentFile Content

  • 009 The Prediction Tasks.mp4[46.00M]
  • 001 Prelude to Modeling Stock Market Indices.mp4[19.00M]
  • 006 Random Forests Review.mp4[45.00M]
  • 007 Create Initial Model part 1.mp4[64.00M]
  • 005 Decision Trees part 4.mp4[47.00M]
  • 002 Decision Trees as Applicable to Case Study Tasks.mp4[47.00M]
  • 010 Precision and Recall and Confusion Matrices.mp4[48.00M]
  • 011 Neural Network Prediction Technique part 1.mp4[72.00M]
  • 003 Decision Trees part 2.mp4[61.00M]
  • 004 Decision Trees part 3.mp4[64.00M]
  • 008 Create Initial Model part 2.mp4[76.00M]
  • 012 Neural Network Prediction Technique part 2.mp4[65.00M]
  • 004 SVMs Applied to Stock Market Case.mp4[51.00M]
  • 006 Multivariate Adaptive Regressive Splines.mp4[51.00M]
  • 008 Two Strategies.mp4[47.00M]
  • 003 Review Support Vector Machines SVMs using Weather Data part 3.mp4[36.00M]
  • 007 How Will the Predictions be Used .mp4[50.00M]
  • 002 Review Support Vector Machines SVMs using Weather Data part 2.mp4[48.00M]
  • 009 Writing a Simulated Trader Function part 1.mp4[51.00M]
  • 005 Kernel Functions.mp4[41.00M]
  • 001 Review Support Vector Machines SVMs using Weather Data part 1.mp4[43.00M]
  • 011 Evaluating our Simulated Trades.mp4[46.00M]
  • 010 Writing a Simulated Trader Function part 2.mp4[41.00M]
  • 001 Predicting Algae Blooms.mp4[71.00M]
  • 009 Imputation Replace Missing Values through Correlation.mp4[86.00M]
  • 006 Imputation Dealing with Unknown or Missing Values.mp4[80.00M]
  • 007 Imputation Removing Rows with Missing Values.mp4[57.00M]
  • 008 Imputation Replace Missing Values with Central Measures.mp4[66.00M]
  • 005 Data Visualization Conditioning Plots.mp4[61.00M]
  • 003 Data Visualization and Summarization Histograms.mp4[63.00M]
  • 002 Visualizing other Imputations with Lattice Plots.mp4[64.00M]
  • 004 Data Visualization Boxplot and Identity Plot.mp4[48.00M]
  • 006 Semi-Supervised Techniques.mp4[48.00M]
  • 005 Defining Data Mining Tasks.mp4[82.00M]
  • 008 Lift Charts and Precision Recall Curves.mp4[87.00M]
  • 004 Pre-Processing the Data part 3.mp4[92.00M]
  • 003 Pre-Processing the Data part 2.mp4[56.00M]
  • 002 Pre-Processing the Data part 1.mp4[63.00M]
  • 007 Precision and Recall.mp4[55.00M]
  • 001 Review the Data and the Focus of the Fraudulent Transactions Case.mp4[79.00M]
  • 001 Course Overview.mp4[7.83M]
  • 013 Data Structures Dataframes part 2.mp4[57.00M]

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