Packt – Understanding Regression Techniques-XQZT
English | Size: 3.12 GB
Category: Tutorial
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.
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