MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -Customer Segmentation: Unsupervised Machine Learning Algorithms In Python.

Detailed explanation-2: -One very common machine learning algorithm that’s suitable for customer segmentation problems is the k-means clustering algorithm. There are other clustering algorithms as well such as DBSCAN, Agglomerative Clustering, and BIRCH, etc.

Detailed explanation-3: -A recommender system is a special type of information filtering system and it is very popular in e-commerce, entertainment, social networking, higher education sector etc. Target marketing involves breaking down the entire market into various segments and planning marketing strategies in the business world.

Detailed explanation-4: -K-Means is probably the most famous algorithm for clustering. To begin, we have drawn or plot a line according to inertia(sum of squared distances of samples to their closest cluster center) scores of number of cluster to select number of groups and also according to Silhouette and Davies Boulding scores.