Building a Machine Learning Web Application Using Streamlit

If you are a data scientist or data science student, you know how machine learning works. You know the details of the algorithms, which libraries to use, and perform diagnostics. Let's say that in a business environment, you have the perfect model in your hands, with excellent results and ideal everything. It is indeed tempting to suggest that we just hand over the code to the relevant stakeholders and ask them to run it if they want to see results. But that is not how a business environment works.