Workshop 12 | Machine Learning: Zero to Hero
Naive Bayes classifiers are a collection of classification algorithms based on Bayes’ Theorem. It is not a single algorithm but a family of algorithms where all of them share a common principle, i.e. every pair of features being classified is independent of each other. To start with this tricky mystery, join the workshop to understand the core concepts & implement the Naive Bayes Classifier.
Lenaar Digital
Co-founder
AI Engineer at ReliefMe.org
Lead at Developer Student Clubs
Microsoft Student Ambassador
GDSC Lead
SPARK⚡BIZ
Community Mentor
Techrics
Outreach Coordinator
Media Creative Lead
Tech Lead
AI and Chatbot Developer | Full Stack Web | PAFLA Ambassador | Public Speaker | Trainer
Communications Lead
Softseek International
Operations Lead
Marketing Lead
Sir Syed University of Engineering & Technology
Event Management Lead
Content Writing Lead
HnH Soft Tech Solutions Pvt Ltd
Host