Regression

Pearson – Programming Foundations of Classification and Regression Livelessons Part 1

April 17, 2021

Pearson – Programming Foundations of Classification and Regression Livelessons Part 1-iLLiTERATE
English | Size: 7.36 GB
Category: Programming

Programming Foundations of Classification and Regression LiveLessons (Machine Learning with Python for Everyone Series), Part 1

Apress – Machine Learning with Regression in Python: With Ordinary Least Squares, Ridge, Decision Trees and Neural Networks Repack

April 16, 2021

Apress – Machine Learning with Regression in Python: With Ordinary Least Squares, Ridge, Decision Trees and Neural Networks Repack-iLLiTERATE
English | Size: 234.12 MB
Category: Tutorial

In this video, you will learn regression techniques in Python using ordinary least squares, ridge, lasso, decision trees, and neural networks.

WintellectNOW – Linear Regression in Python-CONSORTiUM

August 2, 2020

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.

Skillshare – Tips for Regression Modelling

July 22, 2020

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.

Packt – Logistic Regression Using Stata

April 25, 2020

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.