BANDS x AIML Collab P1 – How to Build an ML Portfolio
Overview
Join a special collaboration between BANDS and AIML for How to Build an ML Portfolio 101 – Part 1 of a two-part series.
Slides / Presentation
Definition
Learn how to build a machine learning portfolio through practical projects and collaborations.
Types / Variants
- Collaboration
- Portfolio Project
Key Concepts
- ML Portfolio Building
- Practical ML Tools
- Student-led Guidance
Applications
- Showcase your ML skills through hands-on projects.
- Participate in student-led guidance sessions.
- Learn practical portfolio development strategies.
Tips & Best Practices
- Start documenting your projects early.
- Use GitHub and Kaggle to showcase practical skills.
- Break your portfolio into small, achievable milestones.