Data Science Machine-Learning Natural Language Processing Python 3 VisualizationSee in schedule: Fri, Jul 30, 15:45-16:15 CEST (30 min) Download/View Slides
When we think about building Python-based data science apps, we think of Flask. But there is a better option now. Streamlit.
In this talk, we’ll go through how to build a very simple Streamlit app step-by-step. I will also review the pros and cons of Streamlit, as regards other popular Python web frameworks being used by Data Scientists and ML Engineers.
Type: Talk (30 mins); Python level: Beginner; Domain level: Intermediate
Steven is a CS finalist, with a skillset in between Software Engineering and Data Science...So most times, he is a Machine Learning Engineer.
He's been interested in a wide range of applications of Data Science/ML from building scalable ML applications to helping businesses make informed business decisions via generating insights from data, but these days, he is mostly focused on ML Research and building ML products.