Events

Winter ML Bootcamp

CIOL Winter ML Bootcamp is an advanced technical workshop designed for CIOL members and select external participants. This 8-session 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.

Session Plan:

1. Exploratory Data Analysis (EDA): Data cleaning and visualization (Assignment: Perform EDA on a dataset)
2. Tabular Data Model Training: Building and evaluating models (Assignment: Train and evaluate a model)
3. Hyperparameter Tuning: Optimize and select the best model (Assignment: Tune models)
4. Pre-trained Models for Text: NLP tasks using BERT and variants (Assignment: Text classification)
5. Pre-trained Models for Images: Using CNNs and ViT (Assignment: Image classification)
6. LLM Fine-tuning: Fine-tune large language models (Assignment: Fine-tune a small-scale model)
7. Explainable AI (XAI): Interpreting ML models (Assignment: Generate explanations for predictions)
8. Research (Problem to Code): From research problems to actionable code (Final Assignment: Research proposal with analysis)