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Shell 0.01% JavaScript 9.29% C++ 0.09% Python 88.45% C 0.51% Fortran 0.02% MATLAB 0.01% PowerShell 0.02% XSLT 0.01% CSS 0.09% TeX 0.04% Makefile 0.01% HTML 0.17% Smarty 0.04% Batchfile 0.01% Jupyter Notebook 0.86% VBScript 0.01% Less 0.01% Cython 0.40% Classic ASP 0.01%

mnist-digit-recognition_hv9k's Introduction

MNIST-Digit-Recognition

This project uses the MNIST dataset available at Kaggle.com and load it using pd.read_csv(). It employs 3 Classification algorithms.

Usage Directions

venv folder contains different checkpoints for ipython notebook and all the required ibraries to run the project MNIST file is the main file for the project that involves Training and Saving different models Loaded File is the project that involves loading saved projects

BEFORE RUNNING THE PROJECT

1) Extract the train.rar

2) Extract the knn.rar

3) Extract the rfc.rar

4) Place it in the same folder as the ipython Notebook

THE ARCHIVED FILES ARE DONE SO TO REDUCE THE SIZE OF BIG FILES AS GITHUB DOESNT ALLOW FILES WITH SIZE MORE THAN 100 MB.

mnist-digit-recognition_hv9k's People

Contributors

sanyam-2001 avatar trellixvulnteam avatar

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