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Building Handwritten Digits Recognizer using Support Vector Machine Machine Machine. The goal of this blog is to find a hyper-calculated machine algorithm that can be used in classification and regression tasks. The aim of this article is to build a machine that can read and interpret an image that uses a handwritten font. We will then use an estimator that is useful in this case is sklearn.svm.sVC, which uses the technique of Support Vector Classification (SVC) The Hypothesis to be tested is that it predicts the digit accurately 95% of the times.
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