COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Unsupervised Learning:Clustering
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Supervised Learning:Classification
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Reinforcement Learning
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Unsupervised Learning:Regression
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Detailed explanation-1: -Customer Segmentation: Unsupervised Machine Learning Algorithms In Python.
Detailed explanation-2: -In the context of customer segmentation, customer clustering analysis is the use of a mathematical model to discover groups of similar customers based on finding the smallest variations among customers within each group. These homogeneous groups are known as “customer archetypes” or “personas”.
Detailed explanation-3: -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-4: -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.