This project focuses on analyzing customer behavior to uncover patterns that drive retention and churn. Using data-driven insights, we segment customers into distinct groups and build predictive ...

Master data science in 2025. Complete guide to machine learning, big data analytics, Python programming, statistical modeling ...

Applies the K-Means clustering algorithm to the generated data. Visualizes the data points, coloring them based on their assigned clusters, and marks the centroids of each cluster.

Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like ...

During the intervening night of 07-08 May 2025, Pakistan Army posts resorted to unprovoked fire using Small Arms and Artillery Guns across the LoC in areas opposite Kupwara, Baramulla, Uri and ...

Abstract: Clustering is one of the critical parts of machine learning algorithms. K-Means clustering is the standard technique that various data analysts use for clustering the data among the various ...

In economics, it refers to the reserve ratio of banks in economic models. Example of Theta Imagine you’re interested in buying a call option for a stock named TechCo. The stock is trading at $50 ...

Although the deal shields Britain from some of the impact of Trump’s tariffs, it leaves the U.K. no better off on U.S. trade than it was before Trump imposed sweeping tariffs on countries around ...

Duolingo says much of that feedback is coming from people who don’t understand what AI-first means. “A lot of the feedback we’ve seen comes from a place of passion for Duolingo, which we ...