The “Regression” part in this name makes anyone think that this is a regression problem where our target variable is numerical. Nevertheless, it is an exceptional case of regression because it calculates a number between 0 and 1, which can be interpreted as a probability. Later, it transforms the predictions to 0 or 1 based on the threshold of 0.5.

Yes! I also believe that to be the case. Nevertheless, researchers who publish papers may opt to go with matplotlib because personalisation is easier.

Yes!! It'd be great for all those who want to start on Machine Learning to grab one of them and try to replicate the code we cover in this tutorial 🔥

Thanks for your words Marcelo!! It is a very exciting field and we are so early that it’s great to see other people interested in the field.

I would love to have this as well.

Thanks for your words! A pleasure to keep publishing as it helps many of you getting started with these tools!! 🙌

Thanks for your comment! The acknowledgment motivates me to produce more content 🙌🏼

Thanks for your kind words!! More on the pipeline 👀

Hey, thanks for letting me know. Already changed! :D

In case someone is experiencing the issues... Google has moved its product to a newer version that works differently. You would need to create a property in the Google Analytics Dashboards with Universal Analytics (see image below) ↓ Look for a property id that starts from UA and copy-paste it to Hashnode . Let me know if you've got any doubts! 😃