100 Days of Machine Learning | CampusX - Voting Ensemble | Classification | Voting Classifier | Hard Voting Vs Soft Voting | Part 2

In a Voting Ensemble, multiple classifiers are combined to make predictions collectively. The Voting Classifier aggregates the predictions from individual models using either Hard Voting (simple majority) or Soft Voting (weighted average of probabilities). Code used : https://github.com/campusx-official/voting-ensemle Voting Classifier Playlist: Part 1 - https://www.youtube.com/watch?v=_W1i-c_6rOk Part 2 - https://www.youtube.com/watch?v=pGQnNYdPTvY Part 3 - https://www.youtube.com/watch?v=ut4vh59rGkw ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in/s/store ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 E-mail us at [email protected] ⌚Time Stamps⌚ 00:00 - Intro 01:03 - Core Idea 12:50 - Code Demo 23:30 - Outro