Project 2: MNIST-Hand Written Digits Classifier
Created a model that does Handwritten Digit Recognition on the MNIST dataset
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Designed a model that is able to identify hand written digits.
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The MNIST-Dataset is a set of 70,000 small images of digits handwritten by high school students and employees of the US causes Bureau. This dataset can be fetched using the fetch_openml library
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Model - The major aim in this project is to be able to to identify handwritten digits based on the features using some of the classification techniques and algorithms. I have set a condition for the binary classifier where the model has to identify the digit 7 .
![](https://mugiiwaraaa.github.io/Fahad_Portfolio/images/confusion_matrixml2.png)
Confusion matrix Vizualization of the Dataset
![](https://mugiiwaraaa.github.io/Fahad_Portfolio/images/MNIST_data_overviewml2.png)
Overview of the MNIST Dataset
Please Check out my Github Repoitory for all the details: Link to Github Repository