分离因变量和自变量

Question

I have built a linear regression model but don't know what is the need to separate dependent and independent variables

can someone explain the code??

x = data.iloc[:, 0:1].values
y = data.iloc[:, 1]

Answer 1

A machine learning model simply works this way: you give it a bunch of inputs and outputs. Then, when a model is trained, when you give it an input, you expect an output.

So in the code you gave, x is input, and y is output, to train the model. AFAIK, most machine learning frameworks expect inputs and outputs seperately (eg: Keras' fit method ). Thus you seperate them before feed into the model.