Another exquisit release

Lynda.The.Essential.Elements.of.Predictive.Analytics.and.Data.Mining-XQZT

Title: The Essential Elements of Predictive Analytics and Data Mining
Publisher: Lynda
Iso Size: 396M (414169088 B)
Files: 8F
Date: 07/11/2017

Course #: 578072
Type: Big Data
Published: 7/10/2017
Modified: N/A
URL: www.lynda.com/SPSS-tutorials/Essential-Elements-Predictive-Analytics-Data-Mining/578072-2.html
Author: Keith McCormick
Duration: 1h 28m
Skill: Intermediate
Exercise: [ ]

Installation:
Unpack that shit, mount that shit, run that shit

Notes:
A proper predictive analytics and data-mining project can
involve many people and many weeks. There are also many
potential errors to avoid. A "big picture" perspective is
necessary to keep the project on track. This course provides that
perspective through the lens of a veteran practitioner who has
completed dozens of real-world projects. Keith McCormick is an
independent data miner and author who specializes in
predictive models and segmentation analysis, including
classification trees, cluster analysis, and association rules.
Here he shares his knowledge with you. Walk through each step of a
typical project, from defining the problem and gathering the data
and resources, to putting the solution into practice. Keith also
provides an overview of CRISP-DM (the de facto data-mining
methodology) and the nine laws of data mining, which will keep you
focused on strategy and business value.