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Omdena

Local Chapter project

Building a Career Recommendation System to Make Suggestions for Students

Machine LearningEDAData VisualizationData ScienceDeep Learning
Start date
September 25, 2021
Project status
completed
Building a Career Recommendation System to Make Suggestions for Students

Goal of the project

  • 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.

What you'll learn

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.

Get involved

What to expect from a Local Chapter project

First project

  • Welcomes beginners and experienced practitioners.
  • Focuses on education and collaborative delivery.
  • Produces open-source project work.

Benefits

  • Address a significant real-world problem with your skills.
  • Build your project portfolio.
  • Demonstrate your work to organizations and project partners.

Requirements

  • Working English communication.
  • A learning mindset.
  • Commitment to collaborative project work.

This challenge is hosted by

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