How to become a Contributor

Anyone with solid Data Science experience can become a Contributor to the Synnax Lab ecosystem.

Synnax Lab Contributors are tasked with a traditional machine learning regression problem: train models on the train dataset and submit predictions on the test dataset on a daily basis.

Note: every day DS receive a slightly updated version of the same dataset (same structure, same number of features, same number of targets to predict), retrain their models on updated data and submit predictions on the updated test set. This means that you can use a model, trained on a version of a dataset from any date to predict on the test dataset on any following date.

All Contributors get rewarded for their input on a monthly basis based on accuracy of their predictions.

Synnax provides a convenient SDK (python library) to get training and prediction data, submit predictions and access the validation score.

A detailed instruction on how to:

• register as a Synnax Lab Contributor

• gain access to data

• process data, train models, make predictions

• submit predictions

is available as a jupyter notebook.