Mastering Voting Classifier in Scikit-Learn: A Python Machine Learning Tutorial

preview_player
Показать описание
In this comprehensive Python machine learning tutorial, we dive deep into the world of ensemble learning with the Voting Classifier in Scikit-Learn. If you're looking to boost your machine learning skills and improve model performance, you've come to the right place!

🍿 WATCH NEXT

OTHER SOCIALS:

Who is Ryan
Ryan is a Data Scientist at a fintech company, where he focuses on fraud prevention in underwriting and risk. Before that, he worked as a Data Analyst at a tax software company. He holds a degree in Electrical Engineering from UCF.

Who is Matt

*This is an affiliate program. We receive a small portion of the final sale at no extra cost to you.
Рекомендации по теме
Комментарии
Автор

Hey guys I hope you enjoyed the video! If you did please subscribe to the channel!


*Both Datacamp and Stratascratch are affiliate links.

RyanAndMattDataScience
Автор

Been watching through all your videos, keep up with the great work! The OG of Data Science

hayashii
Автор

can you explain why we don't use Random Forest Directly instead do voting classifier

DALYODHSINGH
Автор

Than you very much Ryan! Could you please make more videos about feature engineering.

Автор

So the Voting Classifier is a mixed of different types of modes with specific weights? What does the Hard and Soft voting stand for?

Eric-fnw
Автор

Doesn’t this implicitly mean that a VC can never perform better (or even as well as) its best component classifier?

Lemon
Автор

my file insnt getting imported, what do i do?
jupyter is unable to read the file

natrix
welcome to shbcf.ru