WintellectNOW – Linear Regression in Python-CONSORTiUM

WintellectNOW – Linear Regression in Python-CONSORTiUM
English | Size: 333.48 MB
Category: Tutorial


Linear regression is one of the most basic forms of machine learning and is a great way to get started building predictive models. Learn the basics of ML using linear regression and how to build regression models in Python with scikit-learn.
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Skillshare – Tips for Regression Modelling

Skillshare – Tips for Regression Modelling-ViGOROUS
English | Size: 722.28 MB
Category: Tutorial


Learn professional tips how to build better regression models.
Not all regression models need complicated econometrics or statistics. Even “standard” regression techniques – such as Ordinary Least Squares – can see significant improvements in usability and data interpretation by applying a few tips and tricks. [Read more…]

Packt – Logistic Regression Using Stata

Packt – Logistic Regression Using Stata-XQZT
English | Size: 1.15 GB
Category: Tutorial

Stata is one of the leading statistical software packages widely used in different fields. This course is divided into two parts The first part covers the theory behind logistic regression, and the second part enables you to apply the theory to practical scenarios using Stata. [Read more…]

Packt – Linear Regression Using Stata

Packt – Linear Regression Using Stata-XQZT
English | Size: 1.25 GB
Category: Tutorial

Stata is one of the leading statistical software packages widely used in different fields. This course is divided into two parts The first part covers the theory behind linear regression in an intuitive way, and the second part enables you to apply the theory to practical scenarios using Stata. Don t worry if you re not from a mathematical background; the course covers only a few equations in which addition and subtraction are used. [Read more…]

Packt – Understanding Regression Techniques

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. [Read more…]

Packt – Machine Learning for Beginners Linear Regression Model in R

Packt – Machine Learning for Beginners Linear Regression Model in R-XQZT
English | Size: 1.92 GB
Category: Tutorial

Are you looking for a complete linear regression course that teaches you everything you need to create a linear regression model in R? This course covers the important aspects that you need to know to solve business problems through linear regression. [Read more…]