[Python Project] Recognizing Handwritten Digits #3: Applying Logistic Regression

Publié le: 08 octobre 2020
sur la chaîne: TheCodex

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This project is a beginner-friendly Python and Machine Learning application focused on building a logistic regression model to analyze and recognize handwritten digits from the MNIST dataset. We’ll read over 70,000 input samples, visualize and analyze each digit, create our testing and training datasets, fit the logistic regression model and visualize the accuracy of our predictions with a confusion matrix!

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GitHub for Source Code: https://github.com/TheCodex-Me/Projects

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