Predicting Bank Customer Churn with Machine Learning in Python | Streamlit App + Power BI Dashboard

[@diegoroldanroldan5393]

que buen video, me acabas de enseñar que debo profundizar mas en los datos, por favor sigue subiendo mas videos en español

[@YiannisPi]

I'm not Spanish man! Glad you enjoy the videos!

[@placidaorlunwo5012]

You have a super unique way to explain every step taken. In my opinion, the Streamlit app is more dynamic than powerBi, I look forward to your content on how to use pickle files directly in PowerBI.

[@YiannisPi]

Streamlit is more dynamic yes, but Power BI is more corporate I would say. Both have their use cases. I don't think it's possible to use pickle in Power BI but will have a look

[@YiannisPi]

Churn prediction is a critical application of machine learning, commonly used in customer retention strategies for industries like telecom, banking, e-commerce, and SaaS. Hope this helps!