Air Quality Prediction from Low-Cost IoT devices

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Helping Nigeria

100 000 NGN

Challenge completed 9 months ago

Skills you will learn

116 joined

68 active

Start

Jan 30, 25

Close

Feb 02, 25

Reveal

Feb 02, 25

About

The dataset is divided into:

Training Data: Contains sensor readings and corresponding CO2 levels measured by the reference meter. This is used to train the machine learning model.
Test Data: Contains sensor readings without CO2 values. Participants must use their models to predict CO2 levels for this dataset, which will be evaluated against unseen ground truth values. This has a 70 - 30 split for Public and Private dataset respectively.

Files

Description

Files

This file describes the variables found in train and test.

This is a starter notebook to help you make your first submission.

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.

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.

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