Online or onsite, instructor-led live DataRobot training courses demonstrate through interactive hands-on practice how to automate, evaluate, and manage predictive models using DataRobot's machine learning capabilities.
DataRobot training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Quito onsite live DataRobot trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Quito - Av Eloy Alfaro
5915 Ave, Av Eloy Alfaro E6-24 y, Quito, ecuador, 170102
Give your latest ideas a boost in Batán Alto with the flexible workspaces at 5915 Av Eloy Alfaro. Enjoy inspiring views over an eclectic cityscape, set against the spectacular backdrop of Quito's Andean foothills.
This instructor-led, live training in Quito (online or onsite) is aimed at data scientists and data analysts who wish to automate, evaluate, and manage predictive models using DataRobot's machine learning capabilities.
By the end of this training, participants will be able to:
Load datasets in DataRobot to analyze, assess, and quality check data.
Build and train models to identify important variables and meet prediction targets.
Interpret models to create valuable insights that are useful in making business decisions.
Monitor and manage models to maintain an optimized prediction performance.
Online DataRobot training in Quito, DataRobot training courses in Quito, Weekend DataRobot courses in Quito, Evening DataRobot training in Quito, DataRobot instructor-led in Quito, DataRobot on-site in Quito, DataRobot boot camp in Quito, DataRobot instructor-led in Quito, DataRobot coaching in Quito, Evening DataRobot courses in Quito, Weekend DataRobot training in Quito, DataRobot trainer in Quito, Online DataRobot training in Quito, DataRobot classes in Quito, DataRobot one on one training in Quito, DataRobot private courses in Quito, DataRobot instructor in Quito