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. Manila onsite live DataRobot trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Joy Nostalg
ADB Avenue, Pasig, Philippines
Modern, conducive and equipped for our training courses
Manila Enterprise Makati
28th Floor, Tower 2, The Enterprise Centre, Manila, Philippines, 1226
Manila's Enterprise Makati Centre is at the heart of the business and finance district in one of the most popular commercial buildings in Makati City. This business centre overlooks the skyscrapers of Makati and from the board rooms there are stunning views of the historic Manila Bay. Described as 'The Business Building Designed for Building Business', it is in a neo-classical landmark twin tower building with magnificently designed facilities, a range of retail and leisure facilities and seven levels of underground parking accommodating 1,200 vehicles. Makati is the country's undisputed financial centre and commercial hub and is home to the headquarters of the 40 per cent of the top 1,000 multinational and local corporations. The city has the most developed telecommunications infrastructure in the country. Transport links are excellent and the Ninoy Aquino International Airport is just five kilometres away.
This instructor-led, live training in Manila (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.
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