[Glints - GEC International Series] Machine Learning 101: Techniques Improving Model Performance
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Machine learning is continuously evolving and it has been applied in all types of industries. Along with it, comes a rise in demand and importance. The most important reason why data scientists need machine learning is, it could provide high-value predictions that can guide better decisions and smart actions in real-time with less or even without human intervention.
With Hendra Hadhil Choiri, Data Scientist at Gojek, we will share some insights on:
- Understanding how to treat missing and outlier values
- Understanding features of engineering (e.g. feature transformation and feature creation)
- Understanding feature selection methods
- Understanding how to improve machine learning performance using multiple algorithms
- Understanding how to perform algorithms tuning
- Understanding the ensemble methods
This class is suggested for:
- Data Analyst
- Data Scientist
- Software Engineer
- Business Intelligence Enthusiast
- Financial Services
- Health Care Analyst
- Oil and Gas Analyst
- Data Enthusiast
What will you get?
- Full practical insights and knowledge from the Expert
- Live Q&A session
- Speaker's presentation material
- E-certificate
Syarat & Ketentuan
GENERAL TERMS AND CONDITIONS
- The event will be held on 14th April 2021 at 15.30 - 17.00 WIB (GMT +7)
- This class will be conducted in English
- Soundcheck will start at 15.25 WIB
- The class will start at 15.30 WIB
- Please provide us with your valid full name and email address. We will send the Zoom link through your registered email
- You may contact our customer hero at [email protected] for further assistance.
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Bundling 4 Pax!1 ticket admits 4 persons (Please kindly inform to us the information of the second attendees class_name_email to [email protected]).
Berakhir 2021-04-12 23:00:00
305000EVENT ENDED
Regular Ticket1 ticket admits 1 person.Berakhir 2021-04-14 14:00:00
150000EVENT ENDED
Bundling 2 Pax!1 ticket admits 2 persons (Please kindly inform to us the information of the second attendees class_name_email to [email protected]).Berakhir 2021-04-12 23:00:00
215000EVENT ENDED
Early Bird Ticket1 ticket admits 1 person.Berakhir 2021-04-07 23:00:00
100000EVENT ENDED
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