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What is the difference between supervised and unsupervised machine learning. The input data in Supervised Learning in labelled data. Supervised Vs Unsupervised Learning Algorithms Example Difference Data Visualization Software Supervised Machine Learning Data Science The fundamental idea of a supervised learning algorithm is to learn a mathematical relationship between inputs and outputs so that it can predict the output value given an entirely new set of input values. . Supervised learning is said to be a complex method of learning while unsupervised method of learning is less complex. For example a dataset for a supervised task might contain real estate data and price of each property. B Which one provides a better performance. The main distinction between the two approaches is the use of labeled datasets. Here we explain the differences between these two large groups their features and what they are used for. Explain th...