Regression & Classification in R for Machine Learning in R
Master Complete Hands-On Regression Analysis & Classification for applied Statistical Modelling & Machine Learning in R
What you’ll learn
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Your comprehensive guide to Regression Analysis & Classification for machine learning using R-programming language
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It covers theory and applications of supervised machine learning with the focus on regression & classification analysis
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Implement Machine Learning Techniques/Classification Such As Random Forests, SVM etc in R
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Build machine learning based regression & classification models and test their robustness in R
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Perform model’s variable selection and assess regression model’s accuracy
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Evaluate Model Performance & Learn The Best Practices For Evaluating Machine Learning Model Accuracy
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Compare different different machine learning models in R
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Learn R-programming from scratch: R crash course is included that you could start R-programming for machine learning
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Graphically representing data in R before and after analysis
Requirements
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Availability computer and internet & strong interest in the topic
Who this course is for:
- The course is ideal for professionals who need to use cluster analysis, unsupervised machine learning and R 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 Machine Learning On Real-World Data
