Nov

25

2020

Complete Linear Regression Analysis in Python

oaxino 25 Nov 2020 14:57 LEARNING » e-learning - Tutorial

Complete Linear Regression  Analysis in Python


Complete Linear Regression Analysis in Python
Video: .mp4 (1280x720) | Audio: AAC, 44100 kHz, 2ch | Size: 2.76 Gb
Genre: eLearning Video | Duration: 7h 21m | Language: English
Linear Regression in Python| Simple Regression, Multiple Regression, Ridge Regression, Lasso and subset selection also.

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After completing this course you will be able to:
- Identify the business problem which can be solved using linear regression technique of Machine Learning.
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A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course.

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If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you the most popular technique of machine learning, which is Linear Regression

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This course covers all the steps that one should take while solving a business problem through linear regression.

Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business.

What makes us qualified to teach you?
The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this course

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Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.

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