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


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Torrent File Content (39 files)


[FreeTutorials.Us] [UDEMY] Fundamentals of Decision Trees in Machine Learning [FTU]
    0. Websites you may like
          0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url -
377 bytes

          1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url -
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          3. (NulledPremium.com) Download E-Learning, E-Books, Audio-Books, Comics, Articles and more... etc.url -
163 bytes

          4. (FTUApps.com) Download Cracked Developers Applications For Free.url -
239 bytes

          How you can help Team-FTU.txt -
229 bytes

    01 Introduction
          001 Welcome.mp4 -
14.05 MB

          002 Introduction.mp4 -
10.63 MB

          003 Getting started.mp4 -
20.82 MB

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

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

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

          006 Analysis nodes.mp4 -
26.75 MB

          007 Lift and gains chart.mp4 -
38.83 MB

    03 CHAID
          008 Whats an algorithm.mp4 -
17 MB

          009 Chi-squared.mp4 -
28.83 MB

          010 Buliding a tree interactively.mp4 -
30.21 MB

          011 Bonferonni adjustment and level of measurement.mp4 -
64.6 MB

          012 CHAID.mp4 -
92.4 MB

    04 CRT
          013 Gini coefficient.mp4 -
21.3 MB

          014 Understanding CRT.mp4 -
83.97 MB

          015 The complete CRT tree.mp4 -
26.63 MB

          016 Stopping rules in CHAID and CRT.mp4 -
47.22 MB

          017 Improving your model.mp4 -
60.96 MB

    05 QUEST
          018 Understanding QUEST.mp4 -
6.59 MB

          019 How QUEST handles variables.mp4 -
72.22 MB

          020 How QUEST handles missing data.mp4 -
26.51 MB

          021 Pruning and stopping rules in QUEST.mp4 -
44.93 MB

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

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

          023 Winnowing attributes and rule sets.mp4 -
63.06 MB

          024 Understanding information gain.mp4 -
24.86 MB

          025 Pruning in C5.0.mp4 -
77.41 MB

          026 How C5.0 handles missing data.mp4 -
15.27 MB

    07 Advanced Topics
          027 Ensembles.mp4 -
61.71 MB

          028 Bagging.mp4 -
101.39 MB

          029 Random forests.mp4 -
28.09 MB

          030 Boosting.mp4 -
41.93 MB

          031 Costs and priors.mp4 -
41.65 MB



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