[FreeTutorials Us] [UDEMY] Fundamentals of Decision Trees in Machine Learning [FTU] Torrent Download Locations

[FreeTutorials.Us] [UDEMY] Fundamentals of Decision Trees in Machine Learning [FTU]
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          How you can help Team-FTU.txt -

    01 Introduction
          001 Welcome.mp4 -

          002 Introduction.mp4 -

          003 Getting started.mp4 -

          attached files/003 Ex-Files-MachineLearning-Trees.zip -

    02 Decision Trees in IBM SPSS Modeler
          004 Decision tree options in SPSS Modeler.mp4 -

          005 Building CHAID model and add a second model with CRT.mp4 -

          006 Analysis nodes.mp4 -

          007 Lift and gains chart.mp4 -

    03 CHAID
          008 Whats an algorithm.mp4 -

          009 Chi-squared.mp4 -

          010 Buliding a tree interactively.mp4 -

          011 Bonferonni adjustment and level of measurement.mp4 -

          012 CHAID.mp4 -

    04 CRT
          013 Gini coefficient.mp4 -

          014 Understanding CRT.mp4 -

          015 The complete CRT tree.mp4 -

          016 Stopping rules in CHAID and CRT.mp4 -

          017 Improving your model.mp4 -

    05 QUEST
          018 Understanding QUEST.mp4 -

          019 How QUEST handles variables.mp4 -

          020 How QUEST handles missing data.mp4 -

          021 Pruning and stopping rules in QUEST.mp4 -

          attached files/018 Ex-Files-ML-Adv-DecisionTrees.zip -

    06 C5.0
          022 ID3 and C4.5.mp4 -

          023 Winnowing attributes and rule sets.mp4 -

          024 Understanding information gain.mp4 -

          025 Pruning in C5.0.mp4 -

          026 How C5.0 handles missing data.mp4 -

    07 Advanced Topics
          027 Ensembles.mp4 -

          028 Bagging.mp4 -

          029 Random forests.mp4 -

          030 Boosting.mp4 -

          031 Costs and priors.mp4 -