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This 6-hour intensive series is designed to help you start building your own Machine Learning project and visualize its output. This will be an instructor-led live course, with hands-on exercises during class and usecase studies.

This crash course is brought to you by Switzerland-based leading community Global AI Hub and Applied Singularity, with instructors Kutay Akalın and Vusal Ismayilov.

AGENDA: There will be live 3-hour sessions every day for 2 days, covering the following topics: Exploratory Data Analysis
Data Processing
Model Building and Evaluation
Machine learning project in Python using real life data example
Deploying ML models
Visualizing outputs using Streamlit framework in Python

CERTIFICATE: On successful completion of the course, you will receive a certificate from AI Business School.

PREREQUISITES:

  • Basic knowledge in programming (Python language will be taught as part of the course)
  • Basics of linear algebra, probability and statistics
  • Awareness on Machine Learning

FEE: The entire course and certificate are FREE but registration is required, as given below

REGISTRATION:

  1. Create your account on the Applied Singularity app: www.appliedsingularity.com/app
  2. Create your account on Global AI Hub's Community and enroll in the course at http://bit.ly/GlobalAIHub-MLC (you may also want to join their India chapters)

Note that RSVPing on meetup.com or in the Meetup app DOES NOT reserve your seat. You must register on both platforms above so that your learning will continue even after this course gets over. Please make this commitment to us and to yourself.

LECTURE LINKS: Close to the event day, links to the webinar sessions will be sent to the email ID you have provided during registration. If you haven't received the links after completing registration AND enrolling for the course, please check your spam folders also.

You can reach Nihal at 9663374431 or at info@appliedsingularity.com if you need any clarifications or have any challenges in registration. We look forward to seeing you at the session!

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