A tutorial for MNIST – Digit Recognition Using scikit learn

Introduction This is again a note to myself. This code has been prepared following different tutorials and SO answers. I have tried to cover many of them in reference below. The notebook is commented to the best of my ability. Starting with 11% in first trial, the final model is able to achieve accuracy of... Continue Reading →

An Introduction To Machine Learning

Machine Learning is a kind of buzz words these days; sort of a mysterious new guy in the class whom everyone wants to be friend with. On the onset, I would like to think Machine Learning as a part of tool kit of every Software Engineer. And conceptually it's not different from the Mathematics, Algorithm,... Continue Reading →

A Tutorial to Understand Decision Tree ID3 Learning Algorithm

Introduction Decision Tree learning is used to approximate discrete valued target functions, in which the learned function is approximated by Decision Tree. To imagine, think of decision tree as if or else rules where each if-else condition leads to certain answer at the end. You might have seen many online games which asks several question and lead... Continue Reading →

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