.MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .VTT | Duration: 7 hours | Size: 4.47 GB
An Introduction to Predictive Analytics for Data Scientists
What you'll learn
Understand what regression is
Build linear regression models
Build logistic regression models
Build count models
Interpret regression results
Visualise the results
Test model assumptions
Requirements
none
Description
Included in this course is an e-book and a set of slides. The purpose of the course is to introduce the students to regression techniques. The course covers linear regression, logistic regression and count model regression. The theory behind each of these three techniques is described in an intuitive and non-mathematical way. Students will learn when to use each of these three techniques, how to test the assumptions, how to build models, how to assess the goodness-of-fit of the models, and how to interpret the results. The course does not assume the use of any specific statistical software. Therefore, this course should be of use to anyone intending on applying regression techniques no matter which software they use. The course also walks students through three detailed case studies.
Who this course is for:
Beginner data science students
Business statistics students
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