The codes contained in this document are done in Jupyter scratch pad utilizing python programming language. A demodata by sklearn is utilized to analyze the value expectation calculation or model. It is about value expectation on the Boston house dataset and factors that effect/decide the costs. The primary objective is to have the option to make value forecast and the elements that decide the cost. A regression model is utilized to assess the value forecast and the elements that influence the cost
Quibik/AZ-Machine-Learning
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