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
- 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
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 |
Let me know if you need further customization or specific links!