Python, Clustering, Data Science, Machine Learning.
users to offer products or content that better fits customers’ needs. It is commonly known as collaborative filtering (user-based or item-based). 3. Anomaly Detection use clustering to group similar data points and to leave out those that do not fit any of the groups — outliers. It can be useful in