Udemy - Machine Learning 2021 - Practical Regression Analysis in R

[ DevCourseWeb.com ] Machine Learning 2021: Practical Regression Analysis in R



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MP4 | h264, 1280x720 | Lang: English | Audio: aac, 44100 Hz | 4h 28m | 1.45 GB

What you'll learn

Your comprehensive guide to Regression Analysis & supervised machine learning using R-programming language

Graphically representing data in R before and after analysis

It covers the theory and applications of supervised machine learning with the focus on regression analysis using the R-programming language in R-Studio

Implement Ordinary Least Square (or simple linear) regression, Random FOrest Regression, Decision Trees, Logistic regression and others using R

Perform model's variable selection and assess regression model's accuracy

Build machine learning based regression models and test their performance in R

Compare different different machine learning models for regression tasks in R

Learn how to select the best statistical & machine learning model for your task

Learn when and how machine learning models should be applied

Carry out coding exercises & your independent project assignment



Requirements

Availabiliy computer and internet & strong interest in the topic

Description

Regression Analysis for Machine Learning & Data Science in R



My course will be your hands-on guide to the theory and applications of supervised machine learning with the focus on regression analysis using the R-programming language.



Unlike other courses, it offers NOT ONLY the guided nstrations of the R-scripts but also covers theoretical background that will allow you to FULLY UNDERSTAND & APPLY REGRESSION ANALYSIS (Linear Regression, Random Forest, KNN, etc) in R (many R packages incl. caret package will be covered) for supervised machine learning and prediction tasks.



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