Torch: Season 1, Episode 2
Want to see this on a real-life example? In my takeaway, I show you how we apply CRISP-ML for customers and how you too can make data science projects fly.
Hi, I'm Lev, and I've been a data scientist at Trivadis – Part of Accenture for over seven years. When I'm not shooting videos, I support a wide variety of companies in developing and implementing data-driven solutions. I also teach data science and data analytics at the Haute École Arc in Neuchâtel. I am known for always questioning things and uncompromisingly looking for the best approach in a project. And when I'm not working on algorithms and statistics? Then I like to kill monsters and save the world on my video game console. PS: Did you enjoy my “Torch” episode? Then let’s get in touch – I would love to pass the torch and discuss the world of data science further!
To obtain more accurate forecasts of product demand, we used CRISP-ML, a standard procedure for data science projects, at a consumer goods company. What challenges did we encounter and how did we solve them? In this takeaway, you'll get concrete tips on how to make your own data science project a success.