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02-01-2021, 07:15 PM (This post was last modified: 02-01-2021 07:18 PM by cgcg.)
Post: #1
[F4LT] Machine Learning Basics: Practical Linear Regression in R
Machine Learning Basics: Practical Linear Regression in R
Learn Practical Linear Regression in R - Basics of machine learning, deep learning, statistics and Artificial Intellegence
New
Rating: 5.0 out of 5
5.0
(2 ratings)
94 students
1hr 58min of on-demand video
Created by Kate Alison
English
English [Auto]

Description

Practical Linear Regression in R - Hands-On

This course teaches you about the most common and popular technique used in Data Science and Machine Learning: Linear Regression. You will learn the theory as well as applications of different types of linear regression models. At the end of the course, you will completely understand and know how to apply and implement in R linear models, how to run model's diagnostics, and how to know if the model is the best fit for your data, how to check the model's performance and to make predictions.

Linear regression is the simplest machine learning (and thus deep learning) model you can learn, yet there is so much depth that you'll be returning to it for years to come. That's why it's a great introductory course if you're interested in taking your first steps in the fields of:

machine learning
deep learning
data science
statistics


THIS COURSE HAS 5 SECTIONS COVERING EVERY ASPECT OF LINEAR REGRESSION: BOTH THEORY TO PRACTICE
Fully understand the basics of Machine Learning and Linear Regression Models from theory to practice
Harness applications of linear regression modeling in R
Learn how to apply correctly linear regression models and test them in R
Complete programming and data science exercises and an independent project in R
Learn how to test the model's fit, how to select the most suitable linear models for your data, and make predictions
Learn different types of linear regressions (1-dimensional and multi-dimensional models, logistic regressions, ANCOVA, etc)
Learn how to deal with the categorical data in your regression modeling and correlation between variables
Learn the basics of R-programming
Get a copy of all scripts used in the course
and MORE


https://www.udemy.com/course/machine-learning-basics-practical-linear-regression-in-r/



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