Data Mining And Predictive Analysis

Data Mining and Predictive Analytics  eBooks & eLearning

Posted by nebulae at Nov. 5, 2015
Data Mining and Predictive Analytics

Daniel T. Larose, Data Mining and Predictive Analytics""
English | ISBN: 1118116194 | 2015 | 824 pages | True PDF | 11 MB
Data Mining and Predictive Analytics (Wiley Series on Methods and Applications in Data Mining)

Data Mining and Predictive Analytics (Wiley Series on Methods and Applications in Data Mining) by Daniel T. Larose
English | Mar 16, 2015 | ISBN: 1118116194 | 824 Pages | AZW3/EPUB/PDF (conv) | 103 MB

Learn methods of data analysis and their application toreal-world data sets This updated second edition serves as an introduction to datamining methods and models, including association rules, clustering,neural networks, logistic regression, and multivariate analysis.

Data Mining and Market Intelligence  eBooks & eLearning

Posted by Underaglassmoon at May 20, 2018
Data Mining and Market Intelligence

Data Mining and Market Intelligence: Implications for Decision Making
Morgan & Claypool | English | 2018 | ISBN-10: 1681733226 | 181 pages | PDF | 3.66 MB

by Mustapha Akinkunmi (Author)

Data Analytics: An Introduction and Explanation into Predictive Analysis  eBooks & eLearning

Posted by naag at April 24, 2017
Data Analytics: An Introduction and Explanation into Predictive Analysis

Data Analytics: An Introduction and Explanation into Predictive Analysis
2017 | English | ISBN: 1540551776 | 76 pages | PDF + EPUB (conv) | 0.6 Mb

Data Mining with R: Go from Beginner to Advanced  eBooks & eLearning

Posted by naag at Feb. 19, 2017
Data Mining with R: Go from Beginner to Advanced

Data Mining with R: Go from Beginner to Advanced
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 12 Hours | Lec: 80 | 3.79 GB
Genre: eLearning | Language: English

Learn to use R software for data analysis, visualization, and to perform dozens of popular data mining techniques.
Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner, 3rd Edition

Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner by Galit Shmueli, Peter C. Bruce, Nitin R. Patel
2016 | ISBN: 1118729277 | English | 552 pages | PDF | 156 MB

Data Mining with R: Go from Beginner to Advanced! [repost]  eBooks & eLearning

Posted by FenixN at Aug. 14, 2016
Data Mining with R: Go from Beginner to Advanced! [repost]

Data Mining with R: Go from Beginner to Advanced!
HDRips | MP4/AVC, ~306 kb/s | 1280x720 | Duration: 12 hours | English: AAC, 76 kb/s (2 ch) | 3.79 GB
Genre: Development / Programming

Learn to use R software for data analysis, visualization, and to perform dozens of popular data mining techniques.

Udemy - Data Mining with R: Go from Beginner to Advanced!  eBooks & eLearning

Posted by naag at Oct. 9, 2015
Udemy - Data Mining with R: Go from Beginner to Advanced!

Udemy - Data Mining with R: Go from Beginner to Advanced!
MP4 | Video: 1280x720 | 75 kbps | 44 KHz | Duration: 12 Hours | 3.79 GB
Genre: eLearning | Language: English

Learn to use R software for data analysis, visualization, and to perform dozens of popular data mining techniques.

Data Mining and Applications in Genomics  eBooks & eLearning

Posted by AvaxGenius at May 19, 2018
Data Mining and Applications in Genomics

Data Mining and Applications in Genomics By Sio-Iong Ao
English | PDF | 2008 | 159 Pages | ISBN : 1402089740 | 4.63 MB

Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies based on the recent and current works at the University of Hong Kong and the Oxford University Computing Laboratory, University of Oxford. It provides a systematic introduction to the use of data mining algorithms as an investigative tool for applications in genomics. Topics covered include Genomic Techniques, Single Nucleotide Polymorphisms, Disease Studies, HapMap Project, Haplotypes, Tag-SNP Selection, Linkage Disequilibrium Map, Gene Regulatory Networks, Dimension Reduction, Feature Selection, Feature Extraction, Principal Component Analysis, Independent Component Analysis, Machine Learning Algorithms, Hybrid Intelligent Techniques, Clustering Algorithms, Graph Algorithms, Numerical Optimization Algorithms, Data Mining Software Comparison, Medical Case Studies, Bioinformatics Projects, and Medical Applications.

Data Mining Through Cluster Analysis Using Python  eBooks & eLearning

Posted by naag at May 19, 2018
Data Mining Through Cluster Analysis Using Python

Data Mining Through Cluster Analysis Using Python
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours | Lec: 16 | 122 MB
Genre: eLearning | Language: English

Discover two non-hierarchical clustering algorithms, k-means and DBSCAN.