Course Machine Learning in the Tidyverse
Leverage the tools in the tidyverse to generate, explore and evaluate machine learning models.
This online course about Machine Learning in the Tidyverse covers a key part of what a future data analyst would require.
This course will teach you to leverage the tools in the “tidyverse” to generate, explore, and evaluate machine learning models. Using a combination of tidyr and purrr packages, you will build a foundation for how to work with complex model objects in a “tidy” way. You will also learn how to leverage the broom package to explore your resulting models. You will then be introduced to the tools in the test-train-validate workflow, which will empower you evaluate the performance of both classification and regression models as well as provide the necessary information to optimize model performance via hyperparameter tuning.
Enroll now in this Machine Learning in the Tidyverse course, and don’t miss the opportunity of learning with the best, as Dmitriy Gorenshteyn is. With 52 enriching exercises, 15 videos, and an estimated time of 5 hours to successfully end up the course, you will become one of the best.
Lead Data Scientist at Memorial Sloan Kettering Cancer Center
Dmitriy is a Lead Data Scientist in the Strategy & Innovation department at Memorial Sloan Kettering Cancer Center. At MSK he develops predictive models for programs aimed at improving patient care. Prior to this role, Dmitriy completed his Doctorate in Quantitative & Computational Biology at Princeton University. With a passion for teaching and for R, he regularly holds cross-departmental R training sessions within MSK. His core teaching philosophy is centered on building intuition and understanding for the methods and tools available.