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A Microsoft Power Report; Sales Report Redesigned

on January 30, 2023

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Recognizing Handwritten Digits With Scikit-Learn

Project 2 entails working on Recognizing handwritten digits is a challenging problem in recent years because we face many problems in recognizing different styles of writing of different peoples as it is not an Optical character recognition. Handwritten digit recognition is the ability of a computer to recognize the human handwritten digits from different sources like images, papers, touch screens, etc. and classify them into 10 predefined classes (0–9). It is used in many real world scenarios like number plate recognition, postal mail sorting, form data entry, bank check processing , etc.W e are going to recognize Handwritten single digits(0–9) correctly using the digits data set from Scikit-Learn , which is a Python Library that provides numerous datasets that are useful for testing many problems of data analysis and prediction of the results and other machine learning tasks by using a classifier called Logistic Regression . Digits data set consists of 1,797 images tha

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A Microsoft Power Report; Sales Report Redesigned

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