Want to clarify the x and y working

#1

i want to understand how sir is taking the value of x and y I understood the y value but did not understood the x value if anyone can help me to understand the value

#2

6.22 se anyone can watch what sir is saying i am not understanding please make me understand

#3

Hey @anindo.kmr

Our dataset is 2-Dimensional table where each row is a training sample and each column is a feature. The table also contains the class/label/prediction for each data sample too. We want to separate the training features and the label into X and y respectively.

To do that, we will use the slicing operation. For a numpy array, data[r1:r2, c1:c2] denotes rows r1 to r2 (excluding r2) and columns c1 to c2 (excluding c2). Leaving these blank implies all rows or columns. So, we extract the first column using data[:, 0] to get the labels, and assign the remaining training data to X using the slice data[:, 1:].

Hope this helps!

#4

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