Machine Learning, Data Science, Data Modeling.
visualizations. I do everything that gives me a good feeling about distributions, outliers, etc. I try lots of different things and spend most of my time during the model development on the data. 2. Set up training and evaluation process After I had a good idea about the data, it was time to build