Regression & Classification with Machine Learning in R

• 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