7 hours 10 minutes
|About||Linear and logistic regressions are among the first set of algorithms you’ll study to get started on your journey in data science.|
This course explores three basic regressions—linear, logistic, and count model. Starting with linear regressions, you’ll first understand the difference between simple and multiple linear regressions and explore different types of variables, including binary, categorical, and quadratic. Once you’ve got to grips with the fundamentals, you’ll apply what you’ve learned to solve a case study. As you advance, you’ll explore logistic regression models and cover variables, non-linearity tests, prediction, and model fit. Finally, you’ll get well-versed with count model regression.
By the end of the course, you’ll be equipped with the knowledge you need to investigate correlations between multiple variables using regression models.
All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Understanding-Regression-Techniques
|Course Length||7 hours 10 minutes|
|Date Of Publication||24 Mar 2020|