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

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

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种子哈希：b68a5c879ef9d3f50dc9d0ec319f5ba21516067b
文件大小：311.01M
已经下载：650次
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收录时间：2023-12-22
最近下载：2025-09-27

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文件列表

  • ~Get Your Files Here !/02 - 1. Introducing Decision Trees/04 - A quick review of machine learning basics with examples.mp4 21.3 MB
  • ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/12 - When to turn off pruning.mp4 17.2 MB
  • ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/05 - Working with the prebuilt example.mp4 16.7 MB
  • ~Get Your Files Here !/02 - 1. Introducing Decision Trees/03 - Introducing KNIME.mp4 13.4 MB
  • ~Get Your Files Here !/02 - 1. Introducing Decision Trees/05 - An overview of decision tree algorithms.mp4 13.1 MB
  • ~Get Your Files Here !/05 - 4. Introducing Regression Trees/02 - The regression tree prebuilt example.mp4 12.6 MB
  • ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/02 - Understanding the entropy calculation.mp4 12.3 MB
  • ~Get Your Files Here !/04 - 3. Introducing Classification Trees/01 - Introducing Leo Breiman and CART.mp4 12.2 MB
  • ~Get Your Files Here !/05 - 4. Introducing Regression Trees/04 - How RT handles nominal variables.mp4 11.6 MB
  • ~Get Your Files Here !/05 - 4. Introducing Regression Trees/05 - Ordinal variable handling.mp4 10.6 MB
  • ~Get Your Files Here !/02 - 1. Introducing Decision Trees/02 - The pros and cons of decision trees.mp4 10.5 MB
  • ~Get Your Files Here !/04 - 3. Introducing Classification Trees/03 - How CART handles missing data using surrogates.mp4 10.2 MB
  • ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/11 - Evaluating the accuracy of your C4.5 tree.mp4 9.7 MB
  • ~Get Your Files Here !/05 - 4. Introducing Regression Trees/06 - Closer look at a full regression tree.mp4 9.5 MB
  • ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/06 - KNIME settings for C4.5.mp4 9.0 MB
  • ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/04 - The Give Me Some Credit data set.mp4 8.3 MB
  • ~Get Your Files Here !/05 - 4. Introducing Regression Trees/08 - Line plot.mp4 8.3 MB
  • ~Get Your Files Here !/04 - 3. Introducing Classification Trees/04 - Changing the settings in KNIME.mp4 8.2 MB
  • ~Get Your Files Here !/05 - 4. Introducing Regression Trees/07 - KNIME's missing data options for regression trees.mp4 8.0 MB
  • ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/07 - How C4.5 handles nominal variables.mp4 7.8 MB
  • ~Get Your Files Here !/02 - 1. Introducing Decision Trees/01 - What is a decision tree.mp4 7.5 MB
  • ~Get Your Files Here !/01 - Introduction/01 - The basics of decision trees.mp4 7.5 MB
  • ~Get Your Files Here !/04 - 3. Introducing Classification Trees/06 - A quick look at the complete CART tree.mp4 7.5 MB
  • ~Get Your Files Here !/04 - 3. Introducing Classification Trees/02 - What is the Gini coefficient.mp4 7.3 MB
  • ~Get Your Files Here !/05 - 4. Introducing Regression Trees/09 - Accuracy.mp4 6.9 MB
  • ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/10 - A quick look at the complete C4.5 tree.mp4 6.8 MB
  • ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/09 - Equal size sampling.mp4 6.7 MB
  • ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/03 - How C4.5 handles missing data.mp4 6.3 MB
  • ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/01 - Ross Quinlan, ID3, C4.5, and C5.0.mp4 6.0 MB
  • ~Get Your Files Here !/04 - 3. Introducing Classification Trees/05 - How CART handles nominal variables.mp4 4.8 MB
  • ~Get Your Files Here !/01 - Introduction/03 - How to use the practice files.mp4 4.7 MB
  • ~Get Your Files Here !/05 - 4. Introducing Regression Trees/01 - MPG data set.mp4 4.7 MB
  • ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/08 - How C4.5 handles continuous variables.mp4 4.4 MB
  • ~Get Your Files Here !/05 - 4. Introducing Regression Trees/03 - The math behind regression trees.mp4 4.2 MB
  • ~Get Your Files Here !/04 - 3. Introducing Classification Trees/07 - Evaluating the accuracy of your CART tree.mp4 3.6 MB
  • ~Get Your Files Here !/01 - Introduction/02 - What you should know.mp4 2.1 MB
  • ~Get Your Files Here !/06 - Conclusion/01 - Next steps.mp4 1.8 MB
  • ~Get Your Files Here !/Ex_Files_ML_and_AI_Foundations_Decision_Trees_KNIME/Exercise Files/Chapter_2_Example_for_Learning_a_Decision_Tree.knwf 806.1 kB
  • ~Get Your Files Here !/Ex_Files_ML_and_AI_Foundations_Decision_Trees_KNIME/Exercise Files/Chapter_3_Example_for_Learning_a_Decision_Tree.knwf 806.0 kB
  • ~Get Your Files Here !/Ex_Files_ML_and_AI_Foundations_Decision_Trees_KNIME/Exercise Files/Chapter_4_Example_for_Learning_a_Decision_Tree.knwf 806.0 kB
  • ~Get Your Files Here !/02 - 1. Introducing Decision Trees/04 - A quick review of machine learning basics with examples.srt 10.6 kB
  • ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/02 - Understanding the entropy calculation.srt 9.4 kB
  • ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/05 - Working with the prebuilt example.srt 9.0 kB
  • ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/12 - When to turn off pruning.srt 8.8 kB
  • ~Get Your Files Here !/02 - 1. Introducing Decision Trees/02 - The pros and cons of decision trees.srt 8.3 kB
  • ~Get Your Files Here !/04 - 3. Introducing Classification Trees/03 - How CART handles missing data using surrogates.srt 8.2 kB
  • ~Get Your Files Here !/05 - 4. Introducing Regression Trees/04 - How RT handles nominal variables.srt 6.6 kB
  • ~Get Your Files Here !/05 - 4. Introducing Regression Trees/02 - The regression tree prebuilt example.srt 6.5 kB
  • ~Get Your Files Here !/02 - 1. Introducing Decision Trees/03 - Introducing KNIME.srt 6.2 kB
  • ~Get Your Files Here !/04 - 3. Introducing Classification Trees/01 - Introducing Leo Breiman and CART.srt 6.1 kB
  • ~Get Your Files Here !/02 - 1. Introducing Decision Trees/05 - An overview of decision tree algorithms.srt 5.9 kB
  • ~Get Your Files Here !/05 - 4. Introducing Regression Trees/05 - Ordinal variable handling.srt 5.6 kB
  • ~Get Your Files Here !/05 - 4. Introducing Regression Trees/06 - Closer look at a full regression tree.srt 5.4 kB
  • ~Get Your Files Here !/02 - 1. Introducing Decision Trees/01 - What is a decision tree.srt 5.1 kB
  • ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/06 - KNIME settings for C4.5.srt 5.0 kB
  • ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/04 - The Give Me Some Credit data set.srt 4.7 kB
  • ~Get Your Files Here !/04 - 3. Introducing Classification Trees/04 - Changing the settings in KNIME.srt 4.6 kB
  • ~Get Your Files Here !/05 - 4. Introducing Regression Trees/07 - KNIME's missing data options for regression trees.srt 4.6 kB
  • ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/03 - How C4.5 handles missing data.srt 4.5 kB
  • ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/11 - Evaluating the accuracy of your C4.5 tree.srt 4.5 kB
  • ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/10 - A quick look at the complete C4.5 tree.srt 4.4 kB
  • ~Get Your Files Here !/04 - 3. Introducing Classification Trees/02 - What is the Gini coefficient.srt 4.1 kB
  • ~Get Your Files Here !/05 - 4. Introducing Regression Trees/08 - Line plot.srt 3.9 kB
  • ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/07 - How C4.5 handles nominal variables.srt 3.7 kB
  • ~Get Your Files Here !/04 - 3. Introducing Classification Trees/06 - A quick look at the complete CART tree.srt 3.7 kB
  • ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/01 - Ross Quinlan, ID3, C4.5, and C5.0.srt 3.7 kB
  • ~Get Your Files Here !/05 - 4. Introducing Regression Trees/03 - The math behind regression trees.srt 3.7 kB
  • ~Get Your Files Here !/05 - 4. Introducing Regression Trees/09 - Accuracy.srt 3.7 kB
  • ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/09 - Equal size sampling.srt 3.4 kB
  • ~Get Your Files Here !/04 - 3. Introducing Classification Trees/05 - How CART handles nominal variables.srt 2.7 kB
  • ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/08 - How C4.5 handles continuous variables.srt 2.4 kB
  • ~Get Your Files Here !/01 - Introduction/03 - How to use the practice files.srt 2.3 kB
  • ~Get Your Files Here !/01 - Introduction/01 - The basics of decision trees.srt 2.2 kB
  • ~Get Your Files Here !/04 - 3. Introducing Classification Trees/07 - Evaluating the accuracy of your CART tree.srt 2.1 kB
  • ~Get Your Files Here !/05 - 4. Introducing Regression Trees/01 - MPG data set.srt 2.0 kB
  • ~Get Your Files Here !/06 - Conclusion/01 - Next steps.srt 1.7 kB
  • ~Get Your Files Here !/01 - Introduction/02 - What you should know.srt 1.6 kB
  • ~Get Your Files Here !/Bonus Resources.txt 386 Bytes
  • Get Bonus Downloads Here.url 183 Bytes

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