Engineering and Technology
Leverage the tools in the tidyverse to generate, explore and evaluate machine learning models.
This course offers comprehensive instruction on utilizing the tools within the tidyverse to effectively generate, explore, and evaluate machine learning models. By incorporating the tidyr and purrr packages, participants will develop a solid understanding of how to handle intricate model objects in a streamlined and organized manner. Additionally, the course will cover the utilization of the broom package to thoroughly analyze the resulting models. Participants will also gain proficiency in the test-train-validate workflow, enabling them to accurately assess the performance of classification and regression models. Furthermore, the course will provide valuable insights on optimizing model performance through hyperparameter tuning, equipping participants with the necessary knowledge to enhance their models.
by DataCamp
Leverage the tools in the tidyverse to generate, explore and evaluate machine learning models.
by DataCamp
Discover different types in data modeling, including for prediction, and learn how to conduct linear...
by DataCamp
This course provides an intro to clustering and dimensionality reduction in R from a machine learnin...
by DataCamp
In this course you'll learn how to get your cleaned data ready for modeling.
by DataCamp
Learn how to build a model to automatically classify items in a school budget.
by DataCamp
In this course you'll learn how to apply machine learning in the HR domain.
by DataCamp
Learn the power of deep learning in PyTorch. Build your first neural network, adjust hyperparameters...
by DataCamp
This course teaches the big ideas in machine learning like how to build and evaluate predictive mode...
by DataCamp
Learn to build pipelines that stand the test of time.
by DataCamp
Sharpen your knowledge and prepare for your next interview by practicing Python machine learning int...