Rupali Gauravaram·11h agoDBSCAN’s edge over K-Means clusteringThe moment I saw this prompt, I knew I needed a dataset that was large and noisy enough to truly show how the two unsupervised models…
Sathwik Pinninti·1d agoK-Means clustering from scratch: Building a Customer Support Ticketing systemOn our next algorithm in the list, I arrived at K-means clustering. An algorithm that’s different from all the regression but yet closely…
Happy Gracia Atmaja·1d agoUnderstanding Mall Customer Segmentation Using K-Means ClusteringUnderstanding customers is one of the most important aspects of business strategy. However, customers do not always share the same…
Evelynaamorita·1d agoDari 8.950 Nasabah Menjadi 4 Segmen: Catatan Seorang Analis tentang Segmentasi Kartu Kredit dengan…Dalam analisis ini, saya menggunakan metode K-Means Clustering untuk mengelompokkan nasabah berdasarkan kemiripan perilaku penggunaan kartu…
Akshat Gupta·1d agoK-Means ClusteringK-means clustering is an unsupervised learning algorithm that categorises and combines clusters of similar data togather into a cluster and…
Cindy Putri Nadia·1d agoMengenal 200 Pelanggan Mal dengan K-Means Clustering: Bagaimana Data Membentuk 5 Segmen Pelanggan?Studi kasus segmentasi pelanggan menggunakan Python, Scikit-learn, dan dataset Mall Customers.
Rahultiwari·2d agoK-Means Clustering: Finding Structure in Data Is Easy. Finding Meaning Is Harder.One of the more interesting problems in machine learning is discovering structure when nobody has told us what that structure should look…
Olivia Feby Kurniawan·3d agoWhich Credit Card Customers Are Most Likely to Leave? Segmenting a Bank with K-MeansImagine you work on a bank’s data team. Your manager asks: “We have thousands of credit card holders. Which ones should we protect at all…
