Linkedin - Machine Learning And AI Foundations - Decision Trees With KNIME

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Linkedin - Machine Learning and AI Foundations - Decision Trees with KNIME

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Linkedin - Machine Learning and AI Foundations - Decision Trees with KNIME.torrent
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b68a5c879ef9d3f50dc9d0ec319f5ba21516067b
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311 MB in 78 files
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Uploaded on 01-07-2022 by our crawler pet called "Spidey".
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Description

[ FreeCourseWeb.com ] Machine Learning and AI Foundations: Decision Trees with KNIME



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Released 06/2022

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 59m | Size: 311 MB



Many data science specialists are looking to pivot toward focusing on machine learning. In this course, Keith McCormick covers the essentials of machine learning pertaining to predictive analytics and working with decision trees. Explore several popular tree algorithms and learn how to use reverse engineering to identify specific variables. nstrations of using the KNIME modeler are included so you can understand how decision trees work. This course is designed to give you a solid foundation on which to build more advanced data science skills.



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We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...



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Files in this torrent

FILENAMESIZE
~Get Your Files Here !/01 - Introduction/01 - The basics of decision trees.mp47.2 MB
~Get Your Files Here !/01 - Introduction/01 - The basics of decision trees.srt2.1 KB
~Get Your Files Here !/01 - Introduction/02 - What you should know.mp42 MB
~Get Your Files Here !/01 - Introduction/02 - What you should know.srt1.6 KB
~Get Your Files Here !/01 - Introduction/03 - How to use the practice files.mp44.5 MB
~Get Your Files Here !/01 - Introduction/03 - How to use the practice files.srt2.2 KB
~Get Your Files Here !/02 - 1. Introducing Decision Trees/01 - What is a decision tree.mp47.2 MB
~Get Your Files Here !/02 - 1. Introducing Decision Trees/01 - What is a decision tree.srt4.9 KB
~Get Your Files Here !/02 - 1. Introducing Decision Trees/02 - The pros and cons of decision trees.mp410.1 MB
~Get Your Files Here !/02 - 1. Introducing Decision Trees/02 - The pros and cons of decision trees.srt8.1 KB
~Get Your Files Here !/02 - 1. Introducing Decision Trees/03 - Introducing KNIME.mp412.8 MB
~Get Your Files Here !/02 - 1. Introducing Decision Trees/03 - Introducing KNIME.srt6 KB
~Get Your Files Here !/02 - 1. Introducing Decision Trees/04 - A quick review of machine learning basics with examples.mp420.3 MB
~Get Your Files Here !/02 - 1. Introducing Decision Trees/04 - A quick review of machine learning basics with examples.srt10.4 KB
~Get Your Files Here !/02 - 1. Introducing Decision Trees/05 - An overview of decision tree algorithms.mp412.5 MB
~Get Your Files Here !/02 - 1. Introducing Decision Trees/05 - An overview of decision tree algorithms.srt5.8 KB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/01 - Ross Quinlan, ID3, C4.5, and C5.0.mp45.7 MB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/01 - Ross Quinlan, ID3, C4.5, and C5.0.srt3.6 KB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/02 - Understanding the entropy calculation.mp411.7 MB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/02 - Understanding the entropy calculation.srt9.1 KB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/03 - How C4.5 handles missing data.mp46 MB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/03 - How C4.5 handles missing data.srt4.4 KB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/04 - The Give Me Some Credit data set.mp47.9 MB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/04 - The Give Me Some Credit data set.srt4.6 KB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/05 - Working with the prebuilt example.mp415.9 MB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/05 - Working with the prebuilt example.srt8.8 KB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/06 - KNIME settings for C4.5.mp48.6 MB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/06 - KNIME settings for C4.5.srt4.9 KB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/07 - How C4.5 handles nominal variables.mp47.4 MB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/07 - How C4.5 handles nominal variables.srt3.6 KB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/08 - How C4.5 handles continuous variables.mp44.2 MB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/08 - How C4.5 handles continuous variables.srt2.3 KB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/09 - Equal size sampling.mp46.4 MB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/09 - Equal size sampling.srt3.3 KB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/10 - A quick look at the complete C4.5 tree.mp46.4 MB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/10 - A quick look at the complete C4.5 tree.srt4.3 KB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/11 - Evaluating the accuracy of your C4.5 tree.mp49.3 MB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/11 - Evaluating the accuracy of your C4.5 tree.srt4.4 KB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/12 - When to turn off pruning.mp416.4 MB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/12 - When to turn off pruning.srt8.6 KB
~Get Your Files Here !/04 - 3. Introducing Classification Trees/01 - Introducing Leo Breiman and CART.mp411.6 MB
~Get Your Files Here !/04 - 3. Introducing Classification Trees/01 - Introducing Leo Breiman and CART.srt5.9 KB
~Get Your Files Here !/04 - 3. Introducing Classification Trees/02 - What is the Gini coefficient.mp47 MB
~Get Your Files Here !/04 - 3. Introducing Classification Trees/02 - What is the Gini coefficient.srt4 KB
~Get Your Files Here !/04 - 3. Introducing Classification Trees/03 - How CART handles missing data using surrogates.mp49.8 MB
~Get Your Files Here !/04 - 3. Introducing Classification Trees/03 - How CART handles missing data using surrogates.srt8 KB
~Get Your Files Here !/04 - 3. Introducing Classification Trees/04 - Changing the settings in KNIME.mp47.8 MB
~Get Your Files Here !/04 - 3. Introducing Classification Trees/04 - Changing the settings in KNIME.srt4.5 KB
~Get Your Files Here !/04 - 3. Introducing Classification Trees/05 - How CART handles nominal variables.mp44.6 MB
~Get Your Files Here !/04 - 3. Introducing Classification Trees/05 - How CART handles nominal variables.srt2.6 KB
~Get Your Files Here !/04 - 3. Introducing Classification Trees/06 - A quick look at the complete CART tree.mp47.2 MB
~Get Your Files Here !/04 - 3. Introducing Classification Trees/06 - A quick look at the complete CART tree.srt3.6 KB
~Get Your Files Here !/04 - 3. Introducing Classification Trees/07 - Evaluating the accuracy of your CART tree.mp43.4 MB
~Get Your Files Here !/04 - 3. Introducing Classification Trees/07 - Evaluating the accuracy of your CART tree.srt2 KB
~Get Your Files Here !/05 - 4. Introducing Regression Trees/01 - MPG data set.mp44.5 MB
~Get Your Files Here !/05 - 4. Introducing Regression Trees/01 - MPG data set.srt1.9 KB
~Get Your Files Here !/05 - 4. Introducing Regression Trees/02 - The regression tree prebuilt example.mp412 MB
~Get Your Files Here !/05 - 4. Introducing Regression Trees/02 - The regression tree prebuilt example.srt6.3 KB
~Get Your Files Here !/05 - 4. Introducing Regression Trees/03 - The math behind regression trees.mp44 MB
~Get Your Files Here !/05 - 4. Introducing Regression Trees/03 - The math behind regression trees.srt3.6 KB
~Get Your Files Here !/05 - 4. Introducing Regression Trees/04 - How RT handles nominal variables.mp411.1 MB
~Get Your Files Here !/05 - 4. Introducing Regression Trees/04 - How RT handles nominal variables.srt6.5 KB
~Get Your Files Here !/05 - 4. Introducing Regression Trees/05 - Ordinal variable handling.mp410.1 MB
~Get Your Files Here !/05 - 4. Introducing Regression Trees/05 - Ordinal variable handling.srt5.4 KB
~Get Your Files Here !/05 - 4. Introducing Regression Trees/06 - Closer look at a full regression tree.mp49.1 MB
~Get Your Files Here !/05 - 4. Introducing Regression Trees/06 - Closer look at a full regression tree.srt5.3 KB
~Get Your Files Here !/05 - 4. Introducing Regression Trees/07 - KNIME's missing data options for regression trees.mp47.7 MB
~Get Your Files Here !/05 - 4. Introducing Regression Trees/07 - KNIME's missing data options for regression trees.srt4.5 KB
~Get Your Files Here !/05 - 4. Introducing Regression Trees/08 - Line plot.mp47.9 MB
~Get Your Files Here !/05 - 4. Introducing Regression Trees/08 - Line plot.srt3.8 KB
~Get Your Files Here !/05 - 4. Introducing Regression Trees/09 - Accuracy.mp46.6 MB
~Get Your Files Here !/05 - 4. Introducing Regression Trees/09 - Accuracy.srt3.6 KB
~Get Your Files Here !/06 - Conclusion/01 - Next steps.mp41.7 MB
~Get Your Files Here !/06 - Conclusion/01 - Next steps.srt1.6 KB
~Get Your Files Here !/Bonus Resources.txt386 B
~Get Your Files Here !/Ex_Files_ML_and_AI_Foundations_Decision_Trees_KNIME/Exercise Files/Chapter_2_Example_for_Learning_a_Decision_Tree.knwf787.2 KB
~Get Your Files Here !/Ex_Files_ML_and_AI_Foundations_Decision_Trees_KNIME/Exercise Files/Chapter_3_Example_for_Learning_a_Decision_Tree.knwf787.2 KB
~Get Your Files Here !/Ex_Files_ML_and_AI_Foundations_Decision_Trees_KNIME/Exercise Files/Chapter_4_Example_for_Learning_a_Decision_Tree.knwf787.2 KB

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