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Lynda - Data Science Foundations: Data Mining
magnet:?xt=urn:btih:2b2db98b60882e3bb0bb2a5ad61f93eb82c82608&dn=Lynda - Data Science Foundations: Data Mining
磁力链接详情
Hash值:
2b2db98b60882e3bb0bb2a5ad61f93eb82c82608
点击数:
115
文件大小:
616.65 MB
文件数量:
54
创建日期:
2017-2-17 21:47
最后访问:
2024-7-23 06:22
访问标签:
Lynda
-
Data
Science
Foundations:
Data
Mining
文件列表详情
053 Text mining in RapidMiner.mp4 20.04 MB
028 Anomaly detection in Python.mp4 11.06 MB
048 Sequence mining in BigML - Part 2.mp4 9.85 MB
045 Sequence mining in R.mp4 13.39 MB
034 Association analysis in Python.mp4 5.24 MB
044 Sequence mining algorithms.mp4 7.24 MB
019 Classification goals.mp4 6.31 MB
032 Association analysis data.mp4 6.15 MB
006 Software prerequisites.mp4 11.75 MB
042 Regression analysis in RapidMiner.mp4 10.16 MB
024 Classification in KNIME.mp4 16.06 MB
046 Sequence mining in Python.mp4 9.94 MB
007 Goals of data reduction.mp4 9.87 MB
038 Regression analysis data.mp4 6.58 MB
049 Text mining goals.mp4 5.02 MB
004 Data mining prerequisites.mp4 5.74 MB
031 Association analysis goals.mp4 10.11 MB
050 Text mining algorithms.mp4 4.96 MB
018 Clustering in Orange.mp4 14.85 MB
037 Regression analysis goals.mp4 5.48 MB
015 Clustering in R.mp4 14.44 MB
041 Regression analysis in KNIME.mp4 6.86 MB
020 Classification data.mp4 11.64 MB
003 Exercise files.mp4 1.58 MB
021 Classification in R.mp4 30.6 MB
012 Data reduction in RapidMiner.mp4 19.62 MB
047 Sequence mining in BigML - Part 1.mp4 8.75 MB
008 Data for data reduction.mp4 7.82 MB
013 Clustering goals.mp4 6.07 MB
023 Classification in RapidMiner.mp4 20.12 MB
039 Regression analysis in R.mp4 10.71 MB
022 Classification in Python.mp4 8.69 MB
002 Who should watch this course.mp4 1.71 MB
054 Next steps.mp4 4.57 MB
027 Anomaly detection in R.mp4 25.86 MB
052 Text mining in Python.mp4 21.62 MB
043 Sequence mining goals.mp4 3.92 MB
051 Text mining in R.mp4 24.05 MB
001 Welcome.mp4 5.58 MB
016 Clustering in Python.mp4 6.7 MB
036 Association analysis in KNIME.mp4 14.61 MB
005 Algorithm prerequisites.mp4 5.76 MB
011 Data reduction in Orange.mp4 9.94 MB
009 Data reduction in R.mp4 23.22 MB
029 Anomaly detection in BigML.mp4 13.31 MB
017 Clustering in BigML.mp4 29.65 MB
026 Anomaly detection data.mp4 10.51 MB
033 Association analysis in R.mp4 22.12 MB
030 Anomaly detection in RapidMiner.mp4 11.02 MB
014 Clustering data.mp4 9.11 MB
035 Association analysis in Orange.mp4 11.82 MB
040 Regression analysis in Python.mp4 8.34 MB
010 Data reduction in Python.mp4 8.63 MB
025 Anomaly detection goals.mp4 7.9 MB
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