MLP Project Orientation | 26T1

This orientation video, part of the Machine Learning Practice course, guides students through the registration process for the 26T1 project. The instructor explains the steps: creating a Kaggle account, joining the competition, creating a notebook with a specific naming convention, making a dummy submission, and filling a registration form. He demonstrates using a dummy classifier to make a baseline submission and emphasizes the importance of sharing the notebook with the course team. The video also covers the project workflow, including expected cutoff scores, plagiarism checks, and the viva process. Deadlines are provided for different cohorts, and the grading scheme is outlined, with components for notebook, milestones, leaderboard score, and viva. The session is interactive, with students asking clarifying questions throughout.