Artificial Intelligence #1: Linear & MultiLinear Regression

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Price: 94.99$

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 Regression You 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 Regression In the first section you learn how to use python to estimate output of your system. In this section you can estimate output of: Random Number Diabetes Boston House Price Built in Dataset In 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 Temprature Total Sales of Advertising Campaign Built 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 unlimited, lifetime access to the course! You will have instant and free access to any updates I’ll add to the course. You will give you my full support regarding any issues or suggestions related to the course. Check out the curriculum and FREE PREVIEW lectures for a quick insight. It’s time to take Action! Click the Take This Course button at the top right now!… Don’t waste time! Every second of every day is valuable… I can’t wait to see you in the course! Best Regrads, Sobhan