New Courses! Python for R Users & Tree-Based Models in Python

Hi there, We’re launching two new Python courses this week! The first is [Python for R Users]( by Daniel Chen, Data Science Consultant at Lander Analytics. The second is [Machine Learning with Tree-Based Models in Python]( by Elie Kawerk, Data Scientist at Mirum Agency. [Machine Learning with Tree-Based Models in Python]( In this course, you'll learn how to use Python to train decision trees and tree-based models with the user-friendly scikit-learn machine learning library. You'll understand the advantages and shortcomings of trees and demonstrate how ensembling can alleviate these shortcomings, all while practicing on real-world datasets. Finally, you'll also understand how to tune the most influential hyperparameters in order to get the most out of your models. [Python for R Users]( Python and R have seen immense growth in popularity in the 'Machine Learning Age'. Regardless of your background, there will be times when a particular algorithm is implemented in one language and not the other, a feature is better documented, or simply, the tutorial you found online uses Python instead of R. In either case, this would require you to work in Python to get your work done, or try to understand how something is implemented in Python for it to be translated into R. This course helps you cross the R-Python language barrier. Happy learning! DataCamp DataCamp Inc. | 350 Fifth Avenue | Suite 7730 | New York, NY 10118 | [Unsubscribe](