100 Days of Machine Learning | CampusX - K-Means Clustering Algorithm in Python | Practical Example | Student Clustering Example | sklearn

In this video, we will learn how to implement Kmeans using python Sklearn library. We will use Kmeans to cluster students in a dataset. Join us as we walk you through the practical implementation of the K-Means Clustering algorithm in Python, using a student clustering example. Learn how to leverage the powerful Sklearn library to analyze and group students based on common characteristics. Code: https://github.com/campusx-official/100-days-of-machine-learning/tree/main/kmeans ============================ 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]