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Fundamentals Of Decision Trees In Machine Learning
Fundamentals of Decision Trees in Machine Learning Download
Learn the fundamentals of trees in Machine learning
What you'll learn
•Learn the fundamentals of decision trees in machine learning •Using the SPSS Modeler •Building a CHAID model •Using a lift and gains chart •Exploring algorithms •Building a tree interactively
Requirements
•Basic understanding of statistics
Description
A tree has many analogies in real life, and turns out that it has influenced a wide area of machine learning, covering both classification and regression. In decision analysis, a decision tree can be used to visually and explicitly represent decisions and decision making. If you're working towards an understanding of machine learning, it's important to know how to work with decision trees. This course covers the essentials of machine learning, including predictive analytics and working with decision trees. In this course, we'll explore several popular tree algorithms and learn how to use reverse engineering to identify specific variables. Demonstrations of using the IBM SPSS Modeler are included so you can understand how decisions trees work. We'll also explore advanced concepts and details of decision tree algorithms. This course is designed to give you a solid foundation on which to build more advanced data science skills.
Who this course is for:
•Anyone interested in learning machine learning •Data science specialists
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FILE LIST
Filename
Size
Fundamentals of Decision Trees in Machine Learning/01 Introduction/001 Welcome.mp4
13.3 MB
Fundamentals of Decision Trees in Machine Learning/01 Introduction/002 Introduction.mp4
20.9 MB
Fundamentals of Decision Trees in Machine Learning/01 Introduction/003 Getting started.mp4
20.8 MB
Fundamentals of Decision Trees in Machine Learning/01 Introduction/attached files/003 Ex-Files-MachineLearning-Trees.zip
76.1 KB
Fundamentals of Decision Trees in Machine Learning/01 Introduction/Must Read.txt
540 B
Fundamentals of Decision Trees in Machine Learning/02 Decision Trees in IBM SPSS Modeler/004 Decision tree options in SPSS Modeler.mp4
30.3 MB
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.mp4
64.1 MB
Fundamentals of Decision Trees in Machine Learning/02 Decision Trees in IBM SPSS Modeler/006 Analysis nodes.mp4
26.8 MB
Fundamentals of Decision Trees in Machine Learning/02 Decision Trees in IBM SPSS Modeler/007 Lift and gains chart.mp4
38.8 MB
Fundamentals of Decision Trees in Machine Learning/03 CHAID/008 Whats an algorithm.mp4
17 MB
Fundamentals of Decision Trees in Machine Learning/03 CHAID/009 Chi-squared.mp4
28.8 MB
Fundamentals of Decision Trees in Machine Learning/03 CHAID/010 Buliding a tree interactively.mp4
30.2 MB
Fundamentals of Decision Trees in Machine Learning/03 CHAID/011 Bonferonni adjustment and level of measurement.mp4
64.6 MB
Fundamentals of Decision Trees in Machine Learning/03 CHAID/012 CHAID.mp4
92.4 MB
Fundamentals of Decision Trees in Machine Learning/04 CRT/013 Gini coefficient.mp4
21.3 MB
Fundamentals of Decision Trees in Machine Learning/04 CRT/014 Understanding CRT.mp4
84 MB
Fundamentals of Decision Trees in Machine Learning/04 CRT/015 The complete CRT tree.mp4
26.6 MB
Fundamentals of Decision Trees in Machine Learning/04 CRT/016 Stopping rules in CHAID and CRT.mp4
47.2 MB
Fundamentals of Decision Trees in Machine Learning/04 CRT/017 Improving your model.mp4
61 MB
Fundamentals of Decision Trees in Machine Learning/05 QUEST/018 Understanding QUEST.mp4
6.6 MB
Fundamentals of Decision Trees in Machine Learning/05 QUEST/019 How QUEST handles variables.mp4
72.2 MB
Fundamentals of Decision Trees in Machine Learning/05 QUEST/020 How QUEST handles missing data.mp4
26.5 MB
Fundamentals of Decision Trees in Machine Learning/05 QUEST/021 Pruning and stopping rules in QUEST.mp4
44.9 MB
Fundamentals of Decision Trees in Machine Learning/05 QUEST/attached files/018 Ex-Files-ML-Adv-DecisionTrees.zip
873.3 KB
Fundamentals of Decision Trees in Machine Learning/06 C5.0/022 ID3 and C4.5.mp4
16.1 MB
Fundamentals of Decision Trees in Machine Learning/06 C5.0/023 Winnowing attributes and rule sets.mp4
63.1 MB
Fundamentals of Decision Trees in Machine Learning/06 C5.0/024 Understanding information gain.mp4
24.9 MB
Fundamentals of Decision Trees in Machine Learning/06 C5.0/025 Pruning in C5.0.mp4
77.4 MB
Fundamentals of Decision Trees in Machine Learning/06 C5.0/026 How C5.0 handles missing data.mp4
15.3 MB
Fundamentals of Decision Trees in Machine Learning/07 Advanced Topics/027 Ensembles.mp4
61.7 MB
Fundamentals of Decision Trees in Machine Learning/07 Advanced Topics/028 Bagging.mp4
101.4 MB
Fundamentals of Decision Trees in Machine Learning/07 Advanced Topics/029 Random forests.mp4
28.1 MB
Fundamentals of Decision Trees in Machine Learning/07 Advanced Topics/030 Boosting.mp4
39.8 MB
Fundamentals of Decision Trees in Machine Learning/07 Advanced Topics/031 Costs and priors.mp4
51.3 MB
Fundamentals of Decision Trees in Machine Learning/07 Advanced Topics/ReadMe.txt
538 B
Fundamentals of Decision Trees in Machine Learning/ReadMe.txt
