learn.kkinn.com - /Courses/AI, Machine Learning, Blockchain, Data Science/machine-learn-2017 Jul-R Data Analysis Solutions - Machine Learning Techn..(sf)Reducing/

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11/19/2000  3:52 AM     22657797 01-The Course Overview.mp4
11/19/2000  3:52 AM     32561462 02-Reading Data from CSV Files.mp4
11/19/2000  3:52 AM     29059298 03-Reading XML and JSON Data.mp4
11/19/2000  3:52 AM     34600247 04-Reading Data from Fixed-Width Formatted Files, R Files, and R Libraries.mp4
11/19/2000  3:52 AM     33123911 05-Removing and Replacing Missing Values.mp4
11/19/2000  3:52 AM     11147881 06-Removing Duplicate Cases.mp4
11/19/2000  3:52 AM     12843273 07-Rescaling a Variable.mp4
11/19/2000  3:52 AM     16246873 08-Normalizing or Standardizing Data in a Data Frame.mp4
11/19/2000  3:52 AM     20923580 09-Binning Numerical Data.mp4
11/19/2000  3:52 AM     18172923 10-Creating Dummies for Categorical Variables.mp4
11/19/2000  3:52 AM     18765450 11-Creating Standard Data Summaries.mp4
11/19/2000  3:52 AM     30065811 12-Extracting Subset of a Dataset.mp4
11/19/2000  3:52 AM     13033028 13-Splitting a Dataset.mp4
11/19/2000  3:52 AM     39323161 14-Creating Random Data Partitions.mp4
11/19/2000  3:52 AM     24731362 15-Generating Standard Plots.mp4
11/19/2000  3:52 AM     10537787 16-Generating Multiple Plots.mp4
11/19/2000  3:52 AM     10072983 17-Selecting a Graphics Device.mp4
11/19/2000  3:52 AM     45127519 18-Creating Plots with the Lattice and ggplot2package.mp4
11/19/2000  3:52 AM     12874314 19-Creating Charts that Facilitate Comparisons.mp4
11/19/2000  3:52 AM      9623479 20-Creating Charts that Visualize Possible Causality.mp4
11/19/2000  3:52 AM     12013863 21-Creating Multivariate Plots.mp4
11/19/2000  3:52 AM     23403651 22-Generating Error_Classification-Confusion Matrices.mp4
11/19/2000  3:52 AM     17877359 23-Generating ROC Charts.mp4
 8/17/2017  7:35 AM     27273291 24-Building, Plotting, and Evaluating – Classification Trees.mp4
11/19/2000  3:52 AM     20032725 25-Using random Forest Models for Classification.mp4
11/19/2000  3:52 AM     23868423 26-Classifying Using the Support Vector Machine Approach.mp4
11/19/2000  3:52 AM     13160643 27-Classifying Using the Naïve Bayes Approach.mp4
11/19/2000  3:52 AM     22060453 28-Classifying Using the KNN Approach.mp4
11/19/2000  3:52 AM     20097265 29-Using Neural Networks for Classification.mp4
11/19/2000  3:52 AM     14028633 30-Classifying Using Linear Discriminant Function Analysis.mp4
11/19/2000  3:52 AM     20399219 31-Classifying Using Logistic Regression.mp4
11/19/2000  3:52 AM     15269489 32-Using AdaBoost to Combine Classification Tree Models.mp4
11/19/2000  3:52 AM     17119086 33-Computing the Root Mean Squared Error.mp4
11/19/2000  3:52 AM     40920740 34-Building KNN Models for Regression.mp4
11/19/2000  3:52 AM     33184919 35-Performing Linear Regression.mp4
11/19/2000  3:52 AM     12093087 36-Performing Variable Selection in Linear Regression.mp4
11/19/2000  3:52 AM     36001732 37-Building Regression Trees.mp4
11/19/2000  3:52 AM     23718426 38-Building Random Forest Models for Regression.mp4
 8/17/2017  7:39 AM     16439683 39-Using Neural Networks for Regression.mp4
11/19/2000  3:52 AM     24671068 40-Performing k-Fold Cross-Validation and Leave-One-Out-Cross-Validation.mp4
11/19/2000  3:52 AM     30743227 41-Performing Cluster Analysis Using K-Means Clustering.mp4
11/19/2000  3:52 AM     20625815 42-Performing Cluster Analysis Using Hierarchical Clustering.mp4
11/19/2000  3:52 AM     22067128 43-Reducing Dimensionality with Principal Component Analysis.mp4