Building a Career Recommendation System to Make Suggestions for Students

Start Date: September 25, 2021 | 5 years ago

Challenge Background

Build a career recommendation model (ruled-based or machine learning) based on the ICFES dataset provided.
Provide insights on how the Colombian student population is distributed around the country.
Make suggestions in which areas students should improve based on ICFES data in order to reduce the lack of preparation in higher education.

1. Understand basic concepts about recommendation systems and their importance in society nowadays.

2. Learn about Machine Learning frameworks and how to measure your models results.

3. Boost up your analytical skills while you do exploratory data analysis with real world data.

Beginner-friendly, but also welcomes experts

Education-focused

Duration: 4 to 8 weeks

Open-source

Address a significant real-world problem with your skills

Build your project portfolio

Access paid projects (as an Omdena Top Talent)

Get hired at top organizations

Good English

Suitable for AI/ Data Science beginners but also more senior collaborators

Learning mindset

Application Closed.