We will be talking about examples from projects we did as data science consultants. What should be organized before you go to a client (internal or external). How should the data look like. What are problems you have to face while working with the clients IT department. You get to see a rough draft of our code. It won't be a thorough manual, just our experiences and how we dealt with problems.
Natalie Speiser
Natalie is a psychologist focused on statistics and machine learning for predictions. Jens is a pyhsicist turned consultant for IBM and d-fine and helped big companies with statistical models since 2009. Together, we founded LAVRIO.solutions and help our clients to make the most out of their data. In our recent data science projects, we faced specific hurdles which seem to be typical.
Jens Beyer
Natalie is a psychologist focused on statistics and machine learning for predictions. Jens is a pyhsicist turned consultant for IBM and d-fine and helped big companies with statistical models since 2009. Together, we founded LAVRIO.solutions and help our clients to make the most out of their data. In our recent data science projects, we faced specific hurdles which seem to be typical.