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- Regression (ML-01)
Overview
The course covers exploratory data analysis techniques and an introduction to statistical regressions. You will also learn how to handle qualitative predictors and make accurate predictions. Equip yourself with tools crucial for a successful career in data science.
What You Will Learn!
- Simple Linear Regression and the Method of Least Squares
- Multiple Linear Regression and Best Subsets
- Tests of Model Adequacy
- Polynomial Regression
- Usage of Transforms
- Tree Based Methods: CART
Curriculum
Instructor
Ramdas Menon has an M.Tech in chemical engineering from IIT-M, and was a Six Sigma Black Belt at GE and Pfizer before setting up Ekaagra. He holds two certifications from the ASQ - CSSBB and CRE - and has conducted programs on Statistical Methods including DOE at several corporates such as Huntsman, Pidilite, TVS Srichakra, Dr Reddys and MRF from 2008 onwards.
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Course Features
- Lectures 1
- Quizzes 0
- Duration 12 hours
- Skill level All levels
- Language English
- Students 33
- Assessments Yes