Fundamentals of Decision Trees in Machine Learning/07 Advanced Topics/028 Bagging.mp4101.39MB
Fundamentals of Decision Trees in Machine Learning/01 Introduction/001 Welcome.mp413.3MB
Fundamentals of Decision Trees in Machine Learning/01 Introduction/002 Introduction.mp420.85MB
Fundamentals of Decision Trees in Machine Learning/01 Introduction/003 Getting started.mp420.82MB
Fundamentals of Decision Trees in Machine Learning/02 Decision Trees in IBM SPSS Modeler/004 Decision tree options in SPSS Modeler.mp430.28MB
Fundamentals of Decision Trees in Machine Learning/02 Decision Trees in IBM SPSS Modeler/005 Building CHAID model and add a second model with CRT.mp464.14MB
Fundamentals of Decision Trees in Machine Learning/02 Decision Trees in IBM SPSS Modeler/006 Analysis nodes.mp426.75MB
Fundamentals of Decision Trees in Machine Learning/02 Decision Trees in IBM SPSS Modeler/007 Lift and gains chart.mp438.83MB
Fundamentals of Decision Trees in Machine Learning/03 CHAID/008 Whats an algorithm.mp417MB
Fundamentals of Decision Trees in Machine Learning/03 CHAID/009 Chi-squared.mp428.83MB
Fundamentals of Decision Trees in Machine Learning/03 CHAID/010 Buliding a tree interactively.mp430.21MB
Fundamentals of Decision Trees in Machine Learning/03 CHAID/011 Bonferonni adjustment and level of measurement.mp464.6MB
Fundamentals of Decision Trees in Machine Learning/03 CHAID/012 CHAID.mp492.4MB
Fundamentals of Decision Trees in Machine Learning/04 CRT/013 Gini coefficient.mp421.3MB
Fundamentals of Decision Trees in Machine Learning/04 CRT/014 Understanding CRT.mp483.97MB
Fundamentals of Decision Trees in Machine Learning/04 CRT/015 The complete CRT tree.mp426.63MB
Fundamentals of Decision Trees in Machine Learning/04 CRT/016 Stopping rules in CHAID and CRT.mp447.22MB
Fundamentals of Decision Trees in Machine Learning/04 CRT/017 Improving your model.mp460.96MB
Fundamentals of Decision Trees in Machine Learning/05 QUEST/018 Understanding QUEST.mp46.59MB
Fundamentals of Decision Trees in Machine Learning/05 QUEST/019 How QUEST handles variables.mp472.22MB
Fundamentals of Decision Trees in Machine Learning/05 QUEST/020 How QUEST handles missing data.mp426.51MB
Fundamentals of Decision Trees in Machine Learning/05 QUEST/021 Pruning and stopping rules in QUEST.mp444.93MB
Fundamentals of Decision Trees in Machine Learning/06 C5.0/022 ID3 and C4.5.mp416.1MB
Fundamentals of Decision Trees in Machine Learning/06 C5.0/023 Winnowing attributes and rule sets.mp463.06MB
Fundamentals of Decision Trees in Machine Learning/06 C5.0/024 Understanding information gain.mp424.86MB
Fundamentals of Decision Trees in Machine Learning/06 C5.0/025 Pruning in C5.0.mp477.41MB
Fundamentals of Decision Trees in Machine Learning/06 C5.0/026 How C5.0 handles missing data.mp415.27MB
Fundamentals of Decision Trees in Machine Learning/07 Advanced Topics/027 Ensembles.mp461.71MB
Fundamentals of Decision Trees in Machine Learning/07 Advanced Topics/029 Random forests.mp428.09MB
Fundamentals of Decision Trees in Machine Learning/07 Advanced Topics/030 Boosting.mp439.81MB
Fundamentals of Decision Trees in Machine Learning/07 Advanced Topics/031 Costs and priors.mp451.27MB