Artificial Intelligence #1: Linear & MultiLinear Regression

Partner: Udemy
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Description: In statistics, Linear Regression is a linear approach for modeling the relationship between a scalar dependent variable Y and one or more explanatory variables (or independent variables) denoted X. The case of one explanatory variable is called simple linear regression. For more than one explanatory variable, the process is called multiple linear regression.In Linear Regression, the relationships are modeled using linear predictor functions whose unknown model parameters are estimated from the data. Such models are called linear models.In this Course you learn Linear Regression & Multilinear RegressionYou learn how to estimate and predict simple and single variable regression to find the possible future output Next you go further  You will learn how to estimate output of Multivariable model by using Multilinear RegressionIn the first section you learn how to use python to estimate output of your system. In this section you can estimate output of:Random NumberDiabetesBoston House PriceBuilt in DatasetIn the Second section you learn how to use python to estimate output of your system with multivariable inputs.In this section you can estimate output of:Global TempratureTotal Sales of Advertising CampaignBuilt in Dataset___________________________________________________________________________Important information before you enroll:In case you find the course useless for your career, don't forget you are covered by a 30 day money back guarantee, full refund, no questions asked!Once enrolled, you have <st
Category: Development > Data Science > Artificial Intelligence (AI)
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Price: 94.99
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Source: Impact
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