[FreeTutorials.Us] [UDEMY] Fundamentals of Decision Trees in Machine Learning [FTU]
File List
- 07 Advanced Topics/028 Bagging.mp4 101.4 MB
- 03 CHAID/012 CHAID.mp4 92.4 MB
- 04 CRT/014 Understanding CRT.mp4 84.0 MB
- 06 C5.0/025 Pruning in C5.0.mp4 77.4 MB
- 05 QUEST/019 How QUEST handles variables.mp4 72.2 MB
- 03 CHAID/011 Bonferonni adjustment and level of measurement.mp4 64.6 MB
- 02 Decision Trees in IBM SPSS Modeler/005 Building CHAID model and add a second model with CRT.mp4 64.1 MB
- 06 C5.0/023 Winnowing attributes and rule sets.mp4 63.1 MB
- 07 Advanced Topics/027 Ensembles.mp4 61.7 MB
- 04 CRT/017 Improving your model.mp4 61.0 MB
- 04 CRT/016 Stopping rules in CHAID and CRT.mp4 47.2 MB
- 05 QUEST/021 Pruning and stopping rules in QUEST.mp4 44.9 MB
- 07 Advanced Topics/030 Boosting.mp4 41.9 MB
- 07 Advanced Topics/031 Costs and priors.mp4 41.6 MB
- 02 Decision Trees in IBM SPSS Modeler/007 Lift and gains chart.mp4 38.8 MB
- 02 Decision Trees in IBM SPSS Modeler/004 Decision tree options in SPSS Modeler.mp4 30.3 MB
- 03 CHAID/010 Buliding a tree interactively.mp4 30.2 MB
- 03 CHAID/009 Chi-squared.mp4 28.8 MB
- 07 Advanced Topics/029 Random forests.mp4 28.1 MB
- 02 Decision Trees in IBM SPSS Modeler/006 Analysis nodes.mp4 26.8 MB
- 04 CRT/015 The complete CRT tree.mp4 26.6 MB
- 05 QUEST/020 How QUEST handles missing data.mp4 26.5 MB
- 06 C5.0/024 Understanding information gain.mp4 24.9 MB
- 04 CRT/013 Gini coefficient.mp4 21.3 MB
- 01 Introduction/003 Getting started.mp4 20.8 MB
- 03 CHAID/008 Whats an algorithm.mp4 17.0 MB
- 06 C5.0/022 ID3 and C4.5.mp4 16.1 MB
- 06 C5.0/026 How C5.0 handles missing data.mp4 15.3 MB
- 01 Introduction/001 Welcome.mp4 14.1 MB
- 01 Introduction/002 Introduction.mp4 10.6 MB
- 05 QUEST/018 Understanding QUEST.mp4 6.6 MB
- 05 QUEST/attached files/018 Ex-Files-ML-Adv-DecisionTrees.zip 873.3 KB
- 01 Introduction/attached files/003 Ex-Files-MachineLearning-Trees.zip 76.1 KB
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