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Genre: eLearning
What you’ll learn
Your comprehensive guide to Regression Analysis & Classification for machine learning using R-programming language
It covers theory and applications of supervised machine learning with the focus on regression & classification analysis
Implement Machine Learning Techniques/Classification Such As Random Forests, SVM etc in R
Build machine learning based regression & classification models and test their robustness in R
Perform model’s variable selection and assess regression model’s accuracy
Evaluate Model Performance & Learn The Best Practices For Evaluating Machine Learning Model Accuracy
Compare different different machine learning models in R
Learn R-programming from scratch: R crash course is included that you could start R-programming for machine learning
Graphically representing data in R before and after analysis
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
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