Semestral work for Applied ML course on University of Economics, Prague.
Project created as a semestral work for Practical applications of machine learning subject at university. The target was to get data, prepare it and create machine learning model.
For me personally it was pretty interesting task with some new things – e.g. distributed Keras NN with Elephas.
Throughout the project I am using:
beautifulsoup+requestsfor data gatheringmatplotlib+seaborn+pandasfor data explorationpyspark+pandasfor data manipulationpyspark+keras+elephasfor modeling
