Say you have one dataset as given below.
When you fit these data into your model, it will take an experience from your dataset and internally it will find some parameters like bias and weights. Now if you give some new data to your model, say if someone has experience 2.5, how much salary he/she will get. That time your model automatically finds the salary using the bias and weights.
Advantages of inner class:
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