Please explain which topic should be focus first for understanding machine learning. Is it this way, first we generate csv file, then we plot appropriate graph, then we apply the best algorithm available then we build the best model. Problem is the file on which Iam working has 37 entries rows, if we have to take any two entries then which entries should be considered for plotting the graph.
UNDERSTANDING MACHINE LEARNING
most important :: Gradient Descent and loss
No , that pipeline is just to understand the data…
plotting is just understanding not implementing.
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