Kaggle is a popular platform for data scientists to showcase their skills, learn from others, and tackle real-world problems. However, approaching Kaggle competitions can be overwhelming, especially for beginners with limited domain knowledge. In this session, Nischay will provide a comprehensive guide on excelling in various Kaggle competitions.

Nischay will share his extensive experience in participating in and winning Kaggle competitions. He will cover various competition types and discuss each domain's latest techniques and approaches. He will also discuss using large language models in competitions and downstream NLP tasks and how well one could perform using AutoML and no-code platforms. Attendees will gain valuable insights into how to get started with competitions, even with zero domain knowledge, and learn effective strategies for winning these competitions. 

Through practical examples and case studies, Nischay will demonstrate his approach to tackling Kaggle competitions, from the initial Exploratory Data Analysis to the final submission.