I have a minor Data mining project in Python/Orange3. The task is to apply different data mining techniques (supervised/unsupervised) on the optimized output data of a General assignment problem (except k-means clustering because that has already been applied). And finally, visualize the relevant data from different techniques to obtain rules for decision makers. The data set is available in CSV format. More information is available upon request.