Hyperparameter Tuning in R
Learn how to tune your models hyperparameters to get the best predictive results.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Learn how to tune your models hyperparameters to get the best predictive results.
In this course, youll learn how to implement more advanced Bayesian models using RJAGS.
Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.
Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.
Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.
Learn to analyze and model customer choice data in R.
Learn to build simple models of market response to increase the effectiveness of your marketing plans.