Supervised Learning in R: Classification

I learned a lot in a short amount of time, and for decades I didn’t believe I could ever learn to code. Really appreciate the amazing instructors

It has been a well-organized course. It have balanced in a proper way the theory with exercises, with a good mixing of case studies and specific examples.

highly informative, well arranged and perfect didactics

Covers four different supervised learning methods in R, with the purpose of classification, that is, assigning observations (data) to an outcome class. Examples of datasets covered in exercises are: road signs, credit applicants, potential charity donors, smartphone location data.

DataCamp is an online data science and programming learning platform that offers a wide range of courses that cover a variety of technical subjects, such as Python, R, SQL, Data Science, Machine Learning, and AI. The platform has a user-friendly interface, and the courses are designed to be interactive, with hands-on projects and exercises that allow learners to apply what they have learned. The courses are taught by experienced professionals, and they provide a combination of video lectures, interactive exercises, and coding challenges. The platform has a flexible subscription model, which allows learners to choose the courses they want to take and also offers a 30-day free trial. Overall, reviews of DataCamp is an excellent resource for anyone interested in learning data science and programming, and it is highly recommended for both beginners and experienced professionals.