Build a Python Interactive Data Dashboard with Dash & Plotly | Data Analytics: World Happiness Index

is it better to install the python extentsions in a virt env?

I wanted to try visualizing this dataset myself, but I'm amazed by your work. You're awesome! Thanks Josh!

Hey Josh ,

I just want to know how does a ML model handle data once its deployed in production.? Like when we build a model we scale the data , remove nulls ,transform it and then use it , but how does all this happen in already deployed models? Because a normal day to day life will have all the uncleaned data. Pleas help , I m really confused. I can build the ml , dl , transformers etc but am confused how is data preprocessing tackled after model is deployed .

Basically how is all preprocessing captured in the model to be used after deployment , is it through columntransformers and pipelines or are there any other steps or is it under mlops umbrella ?

Super useful tutorial. Show us how we can deploy this locally. Thank you again, this was good.

Could you please teach us in the future how to create a charity web app that can display the total donations received and showcase different donation programs?

You are awesome Josh, your great work and channel are highly appreciated ❤

Drop a like for this one 👍

Cool project.

Keep up the great work! This was cool, reminded me of time spent working with Flask somewhat