Machine Learning Quick Reference

Use case – digit recognizer

The Modified National Institute of Standards and Technology (MNIST) is in fact the dataset of computer vision for hello world. Considering its release in 1999, this dataset has served as the main fundamental basis for benchmarking classification algorithms.

 Our goal is to correctly identify digits from a dataset of tens of thousands of handwritten images. We have curated a set of tutorial-style kernels that cover everything from regression to neural networks:

import numpy as npimport pandas as pdimport matplotlib.pyplot as pltimport matplotlib.image as mpimgimport seaborn as sns%matplotlib inlinefrom sklearn.model_selection import train_test_splitimport itertoolsfrom keras.utils.np_utils import to_categorical ...