Multiple linear regression is a model that finds the relationship between a dependent variable and two or more independent variables.
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Linear Regression Implementation using Gradient Descent Method in Python. To predict the house price based on area of the house.
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Regression analysis is estimating the relationships between a dependent variable and one or more independent variables.
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Reinforcement learning is concerned with how software is have to take actions in order to maximize the notion of cumulative reward.
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Semi-supervised learning is an approach to machine learning that combines labeled data with large amount of unlabeled data during training.
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The goal of unsupervised learning is that discover the group of similar behavior or characteristics that is called Clustering
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supervised learning the machine learn from the example or we can say that the presentation of the example.
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Machine Learning is system that can learn from example through self improvement without explicitly code by programmer.