Recognizing Handwritten Digits

In the previous blog you have seen how to apply the techniques of data analysis to Pandas data-frames containing numbers and strings. Indeed, data analysis is not limited to numbers and strings, because images and sounds can also be analyzed and classified.

Handwriting Recognition

Recognizing handwritten text is a problem that can be traced back to the first automatic machines that needed to recognize individual characters in handwritten documents. Think about, for example, the ZIP codes on letters at the post office and the automation needed to recognize these five digits. Perfect recognition of these codes is necessary in order to sort mail automatically and efficiently.

Let us start by importing the required libraries and our data-set:

Importing of Handwritten Digits:

Here is a small preview of how our data-set looks:

Hypothesis to be tested:

Performing data analysis to accept or reject the hypothesis:

Importing sklearn model selection

Analyzing the digits:

Code for prediction of results:

A preview of analysis of digits.

Axes image of the preview digit:

So, that is my blog on Recognizing Handwritten Digits. For Code, Visit:https://github.com/yeshwanthreddyt/Recognizing-Handwritten-Digits

I am thankful to mentors at https://internship.suvenconsultants.com for providing awesome problem statements and giving many of us a Coding Internship Experience. Thank you www.suvenconsultants.com