种子简介
种子名称:
[ FreeCourseWeb.com ] Linkedin - Machine Learning and AI Foundations - Decision Trees with KNIME
文件类型:
视频
文件数目:
37个文件
文件大小:
308.53 MB
收录时间:
2024-2-12 02:47
已经下载:
3次
资源热度:
307
最近下载:
2025-2-6 16:23
下载BT种子文件
下载Torrent文件(.torrent)
立即下载
磁力链接下载
magnet:?xt=urn:btih:b68a5c879ef9d3f50dc9d0ec319f5ba21516067b&dn=[ FreeCourseWeb.com ] Linkedin - Machine Learning and AI Foundations - Decision Trees with KNIME
复制链接到迅雷、QQ旋风进行下载,或者使用百度云离线下载。
喜欢这个种子的人也喜欢
种子包含的文件
[ FreeCourseWeb.com ] Linkedin - Machine Learning and AI Foundations - Decision Trees with KNIME.torrent
~Get Your Files Here !/01 - Introduction/01 - The basics of decision trees.mp47.18MB
~Get Your Files Here !/01 - Introduction/02 - What you should know.mp41.96MB
~Get Your Files Here !/01 - Introduction/03 - How to use the practice files.mp44.52MB
~Get Your Files Here !/02 - 1. Introducing Decision Trees/01 - What is a decision tree.mp47.2MB
~Get Your Files Here !/02 - 1. Introducing Decision Trees/02 - The pros and cons of decision trees.mp410.06MB
~Get Your Files Here !/02 - 1. Introducing Decision Trees/03 - Introducing KNIME.mp412.78MB
~Get Your Files Here !/02 - 1. Introducing Decision Trees/04 - A quick review of machine learning basics with examples.mp420.28MB
~Get Your Files Here !/02 - 1. Introducing Decision Trees/05 - An overview of decision tree algorithms.mp412.49MB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/01 - Ross Quinlan, ID3, C4.5, and C5.0.mp45.68MB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/02 - Understanding the entropy calculation.mp411.72MB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/03 - How C4.5 handles missing data.mp45.97MB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/04 - The Give Me Some Credit data set.mp47.94MB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/05 - Working with the prebuilt example.mp415.95MB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/06 - KNIME settings for C4.5.mp48.62MB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/07 - How C4.5 handles nominal variables.mp47.4MB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/08 - How C4.5 handles continuous variables.mp44.18MB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/09 - Equal size sampling.mp46.42MB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/10 - A quick look at the complete C4.5 tree.mp46.44MB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/11 - Evaluating the accuracy of your C4.5 tree.mp49.29MB
~Get Your Files Here !/03 - 2. Introducing the C5.0 Algorithm/12 - When to turn off pruning.mp416.45MB
~Get Your Files Here !/04 - 3. Introducing Classification Trees/01 - Introducing Leo Breiman and CART.mp411.64MB
~Get Your Files Here !/04 - 3. Introducing Classification Trees/02 - What is the Gini coefficient.mp46.95MB
~Get Your Files Here !/04 - 3. Introducing Classification Trees/03 - How CART handles missing data using surrogates.mp49.77MB
~Get Your Files Here !/04 - 3. Introducing Classification Trees/04 - Changing the settings in KNIME.mp47.82MB
~Get Your Files Here !/04 - 3. Introducing Classification Trees/05 - How CART handles nominal variables.mp44.61MB
~Get Your Files Here !/04 - 3. Introducing Classification Trees/06 - A quick look at the complete CART tree.mp47.15MB
~Get Your Files Here !/04 - 3. Introducing Classification Trees/07 - Evaluating the accuracy of your CART tree.mp43.41MB
~Get Your Files Here !/05 - 4. Introducing Regression Trees/01 - MPG data set.mp44.52MB
~Get Your Files Here !/05 - 4. Introducing Regression Trees/02 - The regression tree prebuilt example.mp411.99MB
~Get Your Files Here !/05 - 4. Introducing Regression Trees/03 - The math behind regression trees.mp44MB
~Get Your Files Here !/05 - 4. Introducing Regression Trees/04 - How RT handles nominal variables.mp411.11MB
~Get Your Files Here !/05 - 4. Introducing Regression Trees/05 - Ordinal variable handling.mp410.08MB
~Get Your Files Here !/05 - 4. Introducing Regression Trees/06 - Closer look at a full regression tree.mp49.08MB
~Get Your Files Here !/05 - 4. Introducing Regression Trees/07 - KNIME's missing data options for regression trees.mp47.67MB
~Get Your Files Here !/05 - 4. Introducing Regression Trees/08 - Line plot.mp47.93MB
~Get Your Files Here !/05 - 4. Introducing Regression Trees/09 - Accuracy.mp46.59MB
~Get Your Files Here !/06 - Conclusion/01 - Next steps.mp41.71MB