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


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Torrent File Content (79 files)


[ FreeCourseWeb.com ] Linkedin - Machine Learning and AI Foundations - Decision Trees with KNIME
     Get Bonus Downloads Here.url -
183 bytes

    ~Get Your Files Here !
          01 - Introduction/01 - The basics of decision trees.mp4 -
7.18 MB

          01 - Introduction/01 - The basics of decision trees.srt -
2.13 KB

          01 - Introduction/02 - What you should know.mp4 -
1.96 MB

          01 - Introduction/02 - What you should know.srt -
1.56 KB

          01 - Introduction/03 - How to use the practice files.mp4 -
4.52 MB

          01 - Introduction/03 - How to use the practice files.srt -
2.21 KB

          02 - 1. Introducing Decision Trees/01 - What is a decision tree.mp4 -
7.2 MB

          02 - 1. Introducing Decision Trees/01 - What is a decision tree.srt -
4.93 KB

          02 - 1. Introducing Decision Trees/02 - The pros and cons of decision trees.mp4 -
10.06 MB

          02 - 1. Introducing Decision Trees/02 - The pros and cons of decision trees.srt -
8.11 KB

          02 - 1. Introducing Decision Trees/03 - Introducing KNIME.mp4 -
12.78 MB

          02 - 1. Introducing Decision Trees/03 - Introducing KNIME.srt -
6.02 KB

          02 - 1. Introducing Decision Trees/04 - A quick review of machine learning basics with examples.mp4 -
20.28 MB

          02 - 1. Introducing Decision Trees/04 - A quick review of machine learning basics with examples.srt -
10.36 KB

          02 - 1. Introducing Decision Trees/05 - An overview of decision tree algorithms.mp4 -
12.49 MB

          02 - 1. Introducing Decision Trees/05 - An overview of decision tree algorithms.srt -
5.75 KB

          03 - 2. Introducing the C5.0 Algorithm/01 - Ross Quinlan, ID3, C4.5, and C5.0.mp4 -
5.68 MB

          03 - 2. Introducing the C5.0 Algorithm/01 - Ross Quinlan, ID3, C4.5, and C5.0.srt -
3.61 KB

          03 - 2. Introducing the C5.0 Algorithm/02 - Understanding the entropy calculation.mp4 -
11.72 MB

          03 - 2. Introducing the C5.0 Algorithm/02 - Understanding the entropy calculation.srt -
9.15 KB

          03 - 2. Introducing the C5.0 Algorithm/03 - How C4.5 handles missing data.mp4 -
5.97 MB

          03 - 2. Introducing the C5.0 Algorithm/03 - How C4.5 handles missing data.srt -
4.4 KB

          03 - 2. Introducing the C5.0 Algorithm/04 - The Give Me Some Credit data set.mp4 -
7.94 MB

          03 - 2. Introducing the C5.0 Algorithm/04 - The Give Me Some Credit data set.srt -
4.63 KB

          03 - 2. Introducing the C5.0 Algorithm/05 - Working with the prebuilt example.mp4 -
15.95 MB

          03 - 2. Introducing the C5.0 Algorithm/05 - Working with the prebuilt example.srt -
8.82 KB

          03 - 2. Introducing the C5.0 Algorithm/06 - KNIME settings for C4.5.mp4 -
8.62 MB

          03 - 2. Introducing the C5.0 Algorithm/06 - KNIME settings for C4.5.srt -
4.89 KB

          03 - 2. Introducing the C5.0 Algorithm/07 - How C4.5 handles nominal variables.mp4 -
7.4 MB

          03 - 2. Introducing the C5.0 Algorithm/07 - How C4.5 handles nominal variables.srt -
3.64 KB

          03 - 2. Introducing the C5.0 Algorithm/08 - How C4.5 handles continuous variables.mp4 -
4.18 MB

          03 - 2. Introducing the C5.0 Algorithm/08 - How C4.5 handles continuous variables.srt -
2.32 KB

          03 - 2. Introducing the C5.0 Algorithm/09 - Equal size sampling.mp4 -
6.42 MB

          03 - 2. Introducing the C5.0 Algorithm/09 - Equal size sampling.srt -
3.32 KB

          03 - 2. Introducing the C5.0 Algorithm/10 - A quick look at the complete C4.5 tree.mp4 -
6.44 MB

          03 - 2. Introducing the C5.0 Algorithm/10 - A quick look at the complete C4.5 tree.srt -
4.33 KB

          03 - 2. Introducing the C5.0 Algorithm/11 - Evaluating the accuracy of your C4.5 tree.mp4 -
9.29 MB

          03 - 2. Introducing the C5.0 Algorithm/11 - Evaluating the accuracy of your C4.5 tree.srt -
4.4 KB

          03 - 2. Introducing the C5.0 Algorithm/12 - When to turn off pruning.mp4 -
16.45 MB

          03 - 2. Introducing the C5.0 Algorithm/12 - When to turn off pruning.srt -
8.61 KB

          04 - 3. Introducing Classification Trees/01 - Introducing Leo Breiman and CART.mp4 -
11.64 MB

          04 - 3. Introducing Classification Trees/01 - Introducing Leo Breiman and CART.srt -
5.92 KB

          04 - 3. Introducing Classification Trees/02 - What is the Gini coefficient.mp4 -
6.95 MB

          04 - 3. Introducing Classification Trees/02 - What is the Gini coefficient.srt -
3.97 KB

          04 - 3. Introducing Classification Trees/03 - How CART handles missing data using surrogates.mp4 -
9.77 MB

          04 - 3. Introducing Classification Trees/03 - How CART handles missing data using surrogates.srt -
8.04 KB

          04 - 3. Introducing Classification Trees/04 - Changing the settings in KNIME.mp4 -
7.82 MB

          04 - 3. Introducing Classification Trees/04 - Changing the settings in KNIME.srt -
4.52 KB

          04 - 3. Introducing Classification Trees/05 - How CART handles nominal variables.mp4 -
4.61 MB



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