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AI4EAC Skills2Job Intelligent Career Pathways Challenge [INTERMEDIATE]

Helping Burundi, Kenya
and 6 other countries
  • Burundi
  • Kenya
  • Rwanda
  • Somalia
  • Uganda
  • South Sudan
  • Tanzania, United Republic of
  • Congo (Democratic Republic of the)
  • Scroll to see more
$7 500 USD
Under code review
Classification
Machine Learning
206 joined
99 active
Starti
Mar 28, 26
Closei
Mar 29, 26
Reveali
Mar 29, 26
About

Data description

In this challenge, you are given a dataset that links skills to occupations (jobs). Your task is to learn these relationships and predict the most relevant jobs for a new set of skills.

Train Data

The training dataset contains examples of skill sets and their corresponding occupations.

  • ID: A unique identifier for each sample.
  • skill_1 to skill_5: Five skills associated with an individual or job profile. Each skill is represented by a unique code.
  • occ_1 to occ_5: Five occupations linked to the given skills. These are the target variables you are trying to predict, also represented by standardized occupation codes.

Each row shows a relationship between a set of skills and multiple relevant occupations.

Test Data

The test dataset has the same structure as the training data, but without the occupation columns.

  • ID: A unique identifier for each sample.
  • skill_1 to skill_5: Five skills for which you need to predict relevant occupations.

Your task is to predict the top 5 most relevant occupations for each row.

Files
Description
Files
Train contains the target. This is the dataset that you will use to train your model.
Test resembles Train.csv but without the target-related columns. This is the dataset on which you will apply your model to.
Is an example of what your submission file should look like. The order of the rows does not matter, but the names of the "ID" must be correct.
This file contains information on occupations.
This file contains information on skills.
Slide decks from the introductory webinar
This is a starter notebook to help you make your first submission.