The competitors will receive a dataset for a given task. Their job will be to analyze the data, to develop ML pipeline, that will produce an ML model (classification or regression).
Once developed, the model should process the test data, and produce predictions. The predictions should be submitted for evaluation, and appropriate performance score will be provided. The final ranking is defined based on the performance for each team. The final evaluation might be done in an interactive setting during the final event (the predictions and the scores are provided on a big screen and the ranking is computed in real time).
Students from 3rd and 4th year are more suitable for this competition.
Software and tools that can be used: Python libraries, ScikitLearn, Jupyter Notebook, Spyder, WEKA, Java ML libraries, R libraries for ML.
