Understanding Clustering in Machine Learning: Algorithms and Use Cases
Clustering is an unsupervised machine learning method, where datapoints are organized into groups, or clusters, consisting of similar datapoints.
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Clustering is an unsupervised machine learning method, where datapoints are organized into groups, or clusters, consisting of similar datapoints.
Marketers are making full use of AI tools available in all kinds of ways. In this blog, we’ll go over the most powerful AI use cases in marketing.
A customer win-back strategy focuses on rectifying mistakes and generating goodwill, in order to regain lost customers, so they return to being...
Customer churn analysis is the process of finding trends in customer data in order to uncover who, when and why customers are leaving.
Customer churn is the most important metric to get right in business growth. We’ll explore how to reduce churn, by predicting the customers at risk.
Classification is a supervised machine learning method, where a trained model predicts the class of an unknown observation, based on its features.