Lynda - Data Science Foundations: Data Mining
| 文件类型 | 收录时间 | 最后活跃 | 资源热度 | 文件大小 | 文件数量 |
|---|---|---|---|---|---|
| 视频 | 2017-2-17 21:47 | 2024-10-31 00:33 | 125 | 616.65 MB | 54 |
迅雷链接
二维码链接
种子下载(838888不存储任何种子文件)
文件列表
- 053 Text mining in RapidMiner.mp420.04MB
- 028 Anomaly detection in Python.mp411.06MB
- 048 Sequence mining in BigML - Part 2.mp49.85MB
- 045 Sequence mining in R.mp413.39MB
- 034 Association analysis in Python.mp45.24MB
- 044 Sequence mining algorithms.mp47.24MB
- 019 Classification goals.mp46.31MB
- 032 Association analysis data.mp46.15MB
- 006 Software prerequisites.mp411.75MB
- 042 Regression analysis in RapidMiner.mp410.16MB
- 024 Classification in KNIME.mp416.06MB
- 046 Sequence mining in Python.mp49.94MB
- 007 Goals of data reduction.mp49.87MB
- 038 Regression analysis data.mp46.58MB
- 049 Text mining goals.mp45.02MB
- 004 Data mining prerequisites.mp45.74MB
- 031 Association analysis goals.mp410.11MB
- 050 Text mining algorithms.mp44.96MB
- 018 Clustering in Orange.mp414.85MB
- 037 Regression analysis goals.mp45.48MB
- 015 Clustering in R.mp414.44MB
- 041 Regression analysis in KNIME.mp46.86MB
- 020 Classification data.mp411.64MB
- 003 Exercise files.mp41.58MB
- 021 Classification in R.mp430.6MB
- 012 Data reduction in RapidMiner.mp419.62MB
- 047 Sequence mining in BigML - Part 1.mp48.75MB
- 008 Data for data reduction.mp47.82MB
- 013 Clustering goals.mp46.07MB
- 023 Classification in RapidMiner.mp420.12MB
- 039 Regression analysis in R.mp410.71MB
- 022 Classification in Python.mp48.69MB
- 002 Who should watch this course.mp41.71MB
- 054 Next steps.mp44.57MB
- 027 Anomaly detection in R.mp425.86MB
- 052 Text mining in Python.mp421.62MB
- 043 Sequence mining goals.mp43.92MB
- 051 Text mining in R.mp424.05MB
- 001 Welcome.mp45.58MB
- 016 Clustering in Python.mp46.7MB
- 036 Association analysis in KNIME.mp414.61MB
- 005 Algorithm prerequisites.mp45.76MB
- 011 Data reduction in Orange.mp49.94MB
- 009 Data reduction in R.mp423.22MB
- 029 Anomaly detection in BigML.mp413.31MB
- 017 Clustering in BigML.mp429.65MB
- 026 Anomaly detection data.mp410.51MB
- 033 Association analysis in R.mp422.12MB
- 030 Anomaly detection in RapidMiner.mp411.02MB
- 014 Clustering data.mp49.11MB
- 035 Association analysis in Orange.mp411.82MB
- 040 Regression analysis in Python.mp48.34MB
- 010 Data reduction in Python.mp48.63MB
- 025 Anomaly detection goals.mp47.9MB
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