Building Handwritten Digits Recognizer using Support Vector Machineby@kavish
1,906 reads
1,906 reads

Building Handwritten Digits Recognizer using Support Vector Machine

by KAVISH GOYAL10mOctober 17th, 2020
Read on Terminal Reader
Read this story w/o Javascript
tldt arrow

Too Long; Didn't Read

Building Handwritten Digits Recognizer using Support Vector Machine Machine Machine. The goal of this blog is to find a hyper-calculated machine algorithm that can be used in classification and regression tasks. The aim of this article is to build a machine that can read and interpret an image that uses a handwritten font. We will then use an estimator that is useful in this case is sklearn.svm.sVC, which uses the technique of Support Vector Classification (SVC) The Hypothesis to be tested is that it predicts the digit accurately 95% of the times.

Company Mentioned

Mention Thumbnail
featured image - Building Handwritten Digits Recognizer using Support Vector Machine
KAVISH GOYAL HackerNoon profile picture
KAVISH GOYAL

KAVISH GOYAL

@kavish

Self Taught Machine Learning Engineer and Data Scientist.Love Data driven problem and AI,ML and DS.

About @kavish
LEARN MORE ABOUT @KAVISH'S
EXPERTISE AND PLACE ON THE INTERNET.

Share Your Thoughts

About Author

KAVISH GOYAL HackerNoon profile picture
KAVISH GOYAL@kavish
Self Taught Machine Learning Engineer and Data Scientist.Love Data driven problem and AI,ML and DS.

TOPICS

THIS ARTICLE WAS FEATURED IN...

Permanent on Arweave
Read on Terminal Reader
Read this story in a terminal
 Terminal
Read this story w/o Javascript
Read this story w/o Javascript
 Lite
L O A D I N G
. . . comments & more!