[ ] Linkedin - Machine Learning and AI Foundations - Decision Trees with KNIME
- 收录时间:2022-12-18 03:34:54
- 文件大小:311MB
- 下载次数:1
- 最近下载:2022-12-18 03:34:54
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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 20MB
- ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/12 - When to turn off pruning.mp4 16MB
- ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/05 - Working with the prebuilt example.mp4 16MB
- ~Get Your Files Here !/02 - 1. Introducing Decision Trees/03 - Introducing KNIME.mp4 13MB
- ~Get Your Files Here !/02 - 1. Introducing Decision Trees/05 - An overview of decision tree algorithms.mp4 12MB
- ~Get Your Files Here !/05 - 4. Introducing Regression Trees/02 - The regression tree prebuilt example.mp4 12MB
- ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/02 - Understanding the entropy calculation.mp4 12MB
- ~Get Your Files Here !/04 - 3. Introducing Classification Trees/01 - Introducing Leo Breiman and CART.mp4 12MB
- ~Get Your Files Here !/05 - 4. Introducing Regression Trees/04 - How RT handles nominal variables.mp4 11MB
- ~Get Your Files Here !/05 - 4. Introducing Regression Trees/05 - Ordinal variable handling.mp4 10MB
- ~Get Your Files Here !/02 - 1. Introducing Decision Trees/02 - The pros and cons of decision trees.mp4 10MB
- ~Get Your Files Here !/04 - 3. Introducing Classification Trees/03 - How CART handles missing data using surrogates.mp4 10MB
- ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/11 - Evaluating the accuracy of your C4.5 tree.mp4 9MB
- ~Get Your Files Here !/05 - 4. Introducing Regression Trees/06 - Closer look at a full regression tree.mp4 9MB
- ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/06 - KNIME settings for C4.5.mp4 9MB
- ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/04 - The Give Me Some Credit data set.mp4 8MB
- ~Get Your Files Here !/05 - 4. Introducing Regression Trees/08 - Line plot.mp4 8MB
- ~Get Your Files Here !/04 - 3. Introducing Classification Trees/04 - Changing the settings in KNIME.mp4 8MB
- ~Get Your Files Here !/05 - 4. Introducing Regression Trees/07 - KNIME's missing data options for regression trees.mp4 8MB
- ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/07 - How C4.5 handles nominal variables.mp4 7MB
- ~Get Your Files Here !/02 - 1. Introducing Decision Trees/01 - What is a decision tree.mp4 7MB
- ~Get Your Files Here !/01 - Introduction/01 - The basics of decision trees.mp4 7MB
- ~Get Your Files Here !/04 - 3. Introducing Classification Trees/06 - A quick look at the complete CART tree.mp4 7MB
- ~Get Your Files Here !/04 - 3. Introducing Classification Trees/02 - What is the Gini coefficient.mp4 7MB
- ~Get Your Files Here !/05 - 4. Introducing Regression Trees/09 - Accuracy.mp4 7MB
- ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/10 - A quick look at the complete C4.5 tree.mp4 6MB
- ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/09 - Equal size sampling.mp4 6MB
- ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/03 - How C4.5 handles missing data.mp4 6MB
- ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/01 - Ross Quinlan, ID3, C4.5, and C5.0.mp4 6MB
- ~Get Your Files Here !/04 - 3. Introducing Classification Trees/05 - How CART handles nominal variables.mp4 5MB
- ~Get Your Files Here !/01 - Introduction/03 - How to use the practice files.mp4 5MB
- ~Get Your Files Here !/05 - 4. Introducing Regression Trees/01 - MPG data set.mp4 5MB
- ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/08 - How C4.5 handles continuous variables.mp4 4MB
- ~Get Your Files Here !/05 - 4. Introducing Regression Trees/03 - The math behind regression trees.mp4 4MB
- ~Get Your Files Here !/04 - 3. Introducing Classification Trees/07 - Evaluating the accuracy of your CART tree.mp4 3MB
- ~Get Your Files Here !/01 - Introduction/02 - What you should know.mp4 2MB
- ~Get Your Files Here !/06 - Conclusion/01 - Next steps.mp4 2MB
- ~Get Your Files Here !/Ex_Files_ML_and_AI_Foundations_Decision_Trees_KNIME/Exercise Files/Chapter_2_Example_for_Learning_a_Decision_Tree.knwf 787KB
- ~Get Your Files Here !/Ex_Files_ML_and_AI_Foundations_Decision_Trees_KNIME/Exercise Files/Chapter_3_Example_for_Learning_a_Decision_Tree.knwf 787KB
- ~Get Your Files Here !/Ex_Files_ML_and_AI_Foundations_Decision_Trees_KNIME/Exercise Files/Chapter_4_Example_for_Learning_a_Decision_Tree.knwf 787KB
- ~Get Your Files Here !/02 - 1. Introducing Decision Trees/04 - A quick review of machine learning basics with examples.srt 10KB
- ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/02 - Understanding the entropy calculation.srt 9KB
- ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/05 - Working with the prebuilt example.srt 9KB
- ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/12 - When to turn off pruning.srt 9KB
- ~Get Your Files Here !/02 - 1. Introducing Decision Trees/02 - The pros and cons of decision trees.srt 8KB
- ~Get Your Files Here !/04 - 3. Introducing Classification Trees/03 - How CART handles missing data using surrogates.srt 8KB
- ~Get Your Files Here !/05 - 4. Introducing Regression Trees/04 - How RT handles nominal variables.srt 6KB
- ~Get Your Files Here !/05 - 4. Introducing Regression Trees/02 - The regression tree prebuilt example.srt 6KB
- ~Get Your Files Here !/02 - 1. Introducing Decision Trees/03 - Introducing KNIME.srt 6KB
- ~Get Your Files Here !/04 - 3. Introducing Classification Trees/01 - Introducing Leo Breiman and CART.srt 6KB
- ~Get Your Files Here !/02 - 1. Introducing Decision Trees/05 - An overview of decision tree algorithms.srt 6KB
- ~Get Your Files Here !/05 - 4. Introducing Regression Trees/05 - Ordinal variable handling.srt 5KB
- ~Get Your Files Here !/05 - 4. Introducing Regression Trees/06 - Closer look at a full regression tree.srt 5KB
- ~Get Your Files Here !/02 - 1. Introducing Decision Trees/01 - What is a decision tree.srt 5KB
- ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/06 - KNIME settings for C4.5.srt 5KB
- ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/04 - The Give Me Some Credit data set.srt 5KB
- ~Get Your Files Here !/04 - 3. Introducing Classification Trees/04 - Changing the settings in KNIME.srt 5KB
- ~Get Your Files Here !/05 - 4. Introducing Regression Trees/07 - KNIME's missing data options for regression trees.srt 4KB
- ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/03 - How C4.5 handles missing data.srt 4KB
- ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/11 - Evaluating the accuracy of your C4.5 tree.srt 4KB
- ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/10 - A quick look at the complete C4.5 tree.srt 4KB
- ~Get Your Files Here !/04 - 3. Introducing Classification Trees/02 - What is the Gini coefficient.srt 4KB
- ~Get Your Files Here !/05 - 4. Introducing Regression Trees/08 - Line plot.srt 4KB
- ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/07 - How C4.5 handles nominal variables.srt 4KB
- ~Get Your Files Here !/04 - 3. Introducing Classification Trees/06 - A quick look at the complete CART tree.srt 4KB
- ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/01 - Ross Quinlan, ID3, C4.5, and C5.0.srt 4KB
- ~Get Your Files Here !/05 - 4. Introducing Regression Trees/03 - The math behind regression trees.srt 4KB
- ~Get Your Files Here !/05 - 4. Introducing Regression Trees/09 - Accuracy.srt 4KB
- ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/09 - Equal size sampling.srt 3KB
- ~Get Your Files Here !/04 - 3. Introducing Classification Trees/05 - How CART handles nominal variables.srt 3KB
- ~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/08 - How C4.5 handles continuous variables.srt 2KB
- ~Get Your Files Here !/01 - Introduction/03 - How to use the practice files.srt 2KB
- ~Get Your Files Here !/01 - Introduction/01 - The basics of decision trees.srt 2KB
- ~Get Your Files Here !/04 - 3. Introducing Classification Trees/07 - Evaluating the accuracy of your CART tree.srt 2KB
- ~Get Your Files Here !/05 - 4. Introducing Regression Trees/01 - MPG data set.srt 2KB
- ~Get Your Files Here !/06 - Conclusion/01 - Next steps.srt 2KB
- ~Get Your Files Here !/01 - Introduction/02 - What you should know.srt 2KB
- ~Get Your Files Here !/Bonus Resources.txt 386B
- Get Bonus Downloads Here.url 183B