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Unsupervised learning is like you only have input variables and no corresponding output variables. It means the dataset is unlabeled or same labeled, unlike supervised learning.  The goal of unsupervised machine learning technique is to find similarities/patterns in the data points and group similar data points together. For example, grouping a crowd based on the color of the shirt/ t-shirt they are wearing, or skin color or hair category or gender etc. Unsupervised learning is…

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As the name suggests Supervised means there is some supervision in the learning methodology. It is like learning from the teacher or having supervision from the master. The machine learning technique in which well-labeled data is used to classify or predict the correct output by learning from the previous similar attribute in the data. Well labeled means data has an input-output sequence. For this at first, some example training dataset is fetched to create a…

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