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classify-handwritten-digits.jpg

Classify handwritten digits using the famous MNIST data

The goal in this Project is to take an image of a handwritten single digit, and determine what that digit is.
4.74.7

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What will you learn

  • Caret
  • FNN
  • H20
  • Random Forrest
  • Logistic Regression
  • k-nearest techniques
  • deep learning
  • Convert pixel data into image

What will you get

  • Access to recording of the complete project
  • Access to all material related to project like data files, solution files etc.

Project Description

The data for this project were taken from the MNIST dataset. The MNIST ("Modified National Institute of Standards and Technology") dataset is a classic within the Machine Learning community that has been extensively studied. More detail about the dataset, including Machine Learning algorithms that have been tried on it and their levels of success, can be found at http://yann.lecun.com/exdb/mnist/index.html.

Instructors

 
Shubham

Statistical Analyst SME

"He is currently associated with International Store Analytics lab. He is passionate about analytics"