Tag Clustering

What is Customer Segmentation

Customer Segmentation

Customer Segmentation is used to divide a company’s customer base into distinct groups based on common characteristics. It helps companies better understand their customers. If you want to understand Customer Segmentation and how Data Science professionals use this technique, this…

Clustering Algorithms in Machine Learning

Clustering Algorithms in Machine Learning

Clustering is the task of identifying similar instances based on similar features and assigning them to clusters based on similar instances. It sounds like classification where each instance is also assigned to a group, but unlike classification, clustering is based…

Cosine Similarity in Machine Learning

Cosine Similarity in Machine Learning

Cosine similarity is a method used in building machine learning applications such as recommender systems. It is a technique to find the similarities between the two documents. In this article, I’ll give you an introduction to Cosine Similarity in Machine…

K-Means Clustering in Machine Learning

K-Means Clustering in Machine Learning

The K-Means Clustering is a clustering algorithm capable of clustering an unlabeled dataset quickly and efficiently in just a very few iterations. In this article, I will take you through the K-Means clustering in machine learning using Python. K-Means Clustering…

Content-Based Filtering in Machine Learning

Content-Based Filtering in Machine Learning

Most recommendation systems use content-based filtering and collaborative filtering to show recommendations to the user to provide a better user experience. Content-based filtering generates recommendations based on a user’s behaviour. In this article, I will walk you through what content-based…

Customer Segmentation

If you want to find out who are your best customers, using an old technique RFM matrix principle is still the best in the business. RFM means – Recency, Frequency and Monetary. RFM is basically a customer segmentation technique that…