4) An Overview on Logistic Regression in ML

 An Overview on Logistic Regression in MLIntroduction:                               This is a supervised ML algorithm and also known to solve the binary classification problems. Binary means two and classification means natures and this means that we use it, to predict the nature between two natures.  In simple words here we have two classes it can be true(presence)...

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More operators, order, between, in, like and where clause

 In this blog we will talk about some more operators which we can use in oracle SQL e.g not, or, and, >=, <=, <, >, =, <> etc. These are some more operators and how we can use them now we will understand this.Before learning about these operators we should understand about where clause. As this name is showing the qualities of this clause that it uses when we want to filter the result also this we can use only with the select...

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3) Multiple Linear Regression

 Multiple Linear RegressionHere we have multiple features such as (x1,x2,x3...) instead of one feature (x1) and after feed these features to model we can get the output (y). Before proceeding away we should understand some of the terminologies which we use for ML. let's assume a[i][j] here will the help of j we can proceed toward columns and with the help of i we can proceed toward rows. Furthermore, n is the total number features.How Model...

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