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TORRENT DETAILS

[FreeTutorials.Us] [UDEMY] Fundamentals Of Decision Trees In Machine Learning [FTU]

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	a6d5e5e1ac1988ebbe723f012e271e47affc36b1
Size:	1.3 GB in 34 files
Release Date(s):	Torrent Release: 18-11-2019 by user
Swarm:	0 Seeds & 1 Peers
Vote:	No votes yet.

DESCRIPTION

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Learn the fundamentals of decision trees in maching learning

Created by : Tech Lab
Last updated : 4/2018
Language : English
Torrent Contains : 39 Files, 10 Folders
Course Source : https://www.udemy.com/course/fundamentals-of-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

Course content
all 31 lectures 02:27:32

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.

VISITOR COMMENTS (0

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FILE LIST

Filename		Size
	0. Websites you may like/How you can help Team-FTU.txt	229 B
	01 Introduction/001 Welcome.mp4	14.1 MB
	01 Introduction/002 Introduction.mp4	10.6 MB
	01 Introduction/003 Getting started.mp4	20.8 MB
	01 Introduction/attached files/003 Ex-Files-MachineLearning-Trees.zip	76.1 KB
	02 Decision Trees in IBM SPSS Modeler/004 Decision tree options in SPSS Modeler.mp4	30.3 MB
	02 Decision Trees in IBM SPSS Modeler/005 Building CHAID model and add a second model with CRT.mp4	64.1 MB
	02 Decision Trees in IBM SPSS Modeler/006 Analysis nodes.mp4	26.8 MB
	02 Decision Trees in IBM SPSS Modeler/007 Lift and gains chart.mp4	38.8 MB
	03 CHAID/008 Whats an algorithm.mp4	17 MB
	03 CHAID/009 Chi-squared.mp4	28.8 MB
	03 CHAID/010 Buliding a tree interactively.mp4	30.2 MB
	03 CHAID/011 Bonferonni adjustment and level of measurement.mp4	64.6 MB
	03 CHAID/012 CHAID.mp4	92.4 MB
	04 CRT/013 Gini coefficient.mp4	21.3 MB
	04 CRT/014 Understanding CRT.mp4	84 MB
	04 CRT/015 The complete CRT tree.mp4	26.6 MB
	04 CRT/016 Stopping rules in CHAID and CRT.mp4	47.2 MB
	04 CRT/017 Improving your model.mp4	61 MB
	05 QUEST/018 Understanding QUEST.mp4	6.6 MB
	05 QUEST/019 How QUEST handles variables.mp4	72.2 MB
	05 QUEST/020 How QUEST handles missing data.mp4	26.5 MB
	05 QUEST/021 Pruning and stopping rules in QUEST.mp4	44.9 MB
	05 QUEST/attached files/018 Ex-Files-ML-Adv-DecisionTrees.zip	873.3 KB
	06 C5.0/022 ID3 and C4.5.mp4	16.1 MB
	06 C5.0/023 Winnowing attributes and rule sets.mp4	63.1 MB
	06 C5.0/024 Understanding information gain.mp4	24.9 MB
	06 C5.0/025 Pruning in C5.0.mp4	77.4 MB
	06 C5.0/026 How C5.0 handles missing data.mp4	15.3 MB
	07 Advanced Topics/027 Ensembles.mp4	61.7 MB
	07 Advanced Topics/028 Bagging.mp4	101.4 MB
	07 Advanced Topics/029 Random forests.mp4	28.1 MB
	07 Advanced Topics/030 Boosting.mp4	41.9 MB
	07 Advanced Topics/031 Costs and priors.mp4	41.6 MB

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