CIOL Presents Winter ML Bootcamp


Overview

CIOL Winter ML Bootcamp is an advanced technical workshop designed for CIOL members and external participants. This month long bootcamp focuses on practical machine learning (ML) applications, assignments, and research-oriented projects. Participants will gain hands-on experience, contribute to publishable research, and build a strong GitHub portfolio.

Register here: CIOL Winter ML Bootcamp | Registration

Event Details

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

Instructors

Certificates

Awards and Opportunities

Research Projects

Selected projects will aim for:

Registration Details

Fill-up this form for registration: CIOL Winter ML Bootcamp | Registration

Mandatory for CIOL Members. External participants must register with a reference from a CIOL member. Due to limited seats, not all applicants can be accommodated, but recorded sessions will be available (no certificates or labs).

Contact: For queries or registration, please reach out to any CIOL member or administrator.