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IndabaX Kenya Tech4MentalHealth Hackathon

Helping Kenya
500 Points
Starting soon! (~12 hours to launch)
Classification
34 joined
0 active
Starti
Jul 22, 26
Closei
Jul 23, 26
Reveali
Jul 23, 26
About

The data consists of statements and questions expressed by students from multiple universities across Kenya who reported suffering from these different mental health challenges.

The wording of the statements is intended to respond to the prompting question, “What is on your mind?”

Note that the written statements may include some spelling or grammatical errors, as well as slang. Also note that labels were not assigned to the statements, but rather students provided statements and questions about their particular experience.

The labels for the training set are contained in Train.csv, corresponding to one of the four categories of mental health problems (depression, suicide, alchoholism, and drug abuse). Your task is to develop a machine learning model to predict the labels for the test set, following the format in sample_submission.csv.

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