GDG on Campus Amity University - Mumbai, India
Building a machine learning model is just the beginning. The real magic lies in how you train it—and more importantly—how you evaluate its performance. This session dives deep into best practices, key metrics, and tools for training robust models and making sure they truly perform in the real world.
11 RSVP'd
In the ever-evolving world of machine learning, creating a model is only half the story. This session aims to demystify the entire journey from data preprocessing to model optimization. We'll explore:
✔️ How to prepare your data for effective training
✔️ Common pitfalls in training machine learning models
✔️ Techniques like cross-validation, regularization, and hyperparameter tuning
✔️ Metrics for evaluating classification and regression models
✔️ Real-world considerations: overfitting, data leakage, and performance monitoring
Whether you're a beginner looking to solidify your foundations or an intermediate ML practitioner wanting to improve your model pipeline, this session will equip you with practical knowledge and strategies to take your models to the next level
Wednesday, April 16, 2025
7:30 AM – 8:30 AM (UTC)
Google Developer Group On Campus
AI/ML Lead
Google Developer Group On Campus, AUM
Core Team
Google Developer Group On Campus, AUM
Core Team
Google Developer Group On Campus
Organizer
Amity University
Organizer
Amity Mumbai
AI/ML Lead
Web Development Lead
UX Lead
Android Development Lead
CyberSecurity Lead
CyberSecurity Co-Lead
Technical Lead
Social Media Lead
Marketing Lead
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Management Team Lead
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