Machine Learning Algorithms learn from data as humans learn from experience. But the type of learning and the goal varies from algorithm to algorithm. Some algorithms need prior knowledge of the target data based on all the input data. When a lot of target data and predictor data is fed, the machine learns from this and then predicts the target output for new data. Some other algorithms do not need any target data. It just gleans insights from existing data based on common pa