Eryk Lewinson
Eryk is an experienced data scientist who specializes in practical applications of data science methods. Outside of work, he has written over a hundred articles on topics related to data science, which have been viewed more than 4 million times. Additionally, he has authored two books on the application of Python in the financial context, both of which were published by Packt.
Sessions
Before finalizing a machine learning model, data scientists conduct dozens, if not hundreds, of experiments. To keep track of these experiments, they employ setups of varying complexity, including physical notebooks, spreadsheets, or even complex configurations using various libraries and dedicated infrastructure. In this practical presentation, I will demonstrate how you and your team can start tracking experiments right away using a very simple setup, with most of the ingredients you are probably already using.