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
How to Enroll Regression & Classification with Machine Learning in R course?
How many members can access this course with a coupon?
Regression & Classification with Machine Learning in R Course coupon is limited to the first 1,000 enrollments. Click 'Enroll Now' to secure your spot and dive into this course on Udemy before it reaches its enrollment limits!
