Machine Learning uses two types models:
Supervised Learning Model: In this type of model building, initially the model is trained on some input labeled dataset to infer the Learning about the Dataset and at the end makes some Future prediction.It needs a lot of human intervention and supervision.
For example models built on top Linear Regression and Logistic regression.
Unsupervised Learning: In this type of model building,the model is provided with the unlabeled data and model on it’s own to infer the learning and find undetected patterns in the data.It requires no or negligible human intervention.
For example:K-means clustering, Hierarchical clustering and Natural Language processing.
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