Machine Learning 2021: Practical Regression Analysis in R
Learn Complete Hands-On Regression Analysis in R for Machine Learning, Statistical Analysis, Data Science, Deep Learning
What you’ll learn
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Your comprehensive guide to Regression Analysis & supervised machine learning using R-programming language
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Graphically representing data in R before and after analysis
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It covers the theory and applications of supervised machine learning with the focus on regression analysis using the R-programming language in R-Studio
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Implement Ordinary Least Square (or simple linear) regression, Random FOrest Regression, Decision Trees, Logistic regression and others using R
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Perform model’s variable selection and assess regression model’s accuracy
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Build machine learning based regression models and test their performance in R
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Compare different different machine learning models for regression tasks in R
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Learn how to select the best statistical & machine learning model for your task
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Learn when and how machine learning models should be applied
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Carry out coding exercises & your independent project assignment
Requirements
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Availabiliy computer and internet & strong interest in the topic
Who this course is for:
- The course is ideal for professionals who need to use regression analysis & supervised machine learning in their field
- Everyone who would like to learn Data Science Applications In The R & R Studio Environment
- Everyone who would like to learn theory and implementation of Regression Analysis & Machine Learning On Real-World Data