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CIOL Presents Winter ML Bootcamp

CIOL Winter ML Bootcamp is a basic to advanced technical workshop designed for CIOL members and select external participants. This 1 month long bootcamp aims to build proficiency in machine learning (ML) with a focus on practical applications, assignments, and research-oriented projects. Our goal is to enable participants to gain hands-on experience, contribute to publishable research, and build an impressive GitHub portfolio. For more details: https://ciol-researchlab.github.io/events/Winter-ML-Bootcamp.html

Event Details:

  • Date: 26 December, 2024 to 06 February, 2025
  • Start Time: Between 8:00–9:00 PM
  • Total Class Time: ~16–20 hours
  • Assignment Time: ~20–30 hours
  • Gap Between Classes: Minimum 2 days (for assignment submission)
  • Duration per Class: 2–2.5 hours
  • Prerequisite: Basic knowledge of Python, including input, variable handling, lists, dictionaries, functions, and file operations

Event Materials

Session Recording Session Materials Assignments
Orientation Watch Recording Materials -
Session 1: Exploratory Data Analysis (EDA) - Materials Assignments
Session 2: Tabular Data Model Training - Materials Assignments
Session 3: Hyperparameter Tuning and Model Selection - Materials Assignments
Session 4: Pre-trained Models for Text - Materials Assignments
Bonus: Research and Writing - Materials Assignments
Session 5: Pre-trained Models for Images - Materials Assignments
Session 6: LLM Fine-tuning - Materials Assignments
Session 7: Explainable AI (XAI) - Materials Assignments
Session 8: Research (Problem to Code) - Materials Assignments
Endling - Materials Assignments

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