https://github.com/meqdaddev/numbers-recognition-by-naive-bayes-classifier
A Python program to classify statistical data about the handwritten numbers.
https://github.com/meqdaddev/numbers-recognition-by-naive-bayes-classifier
classification gaussian-naive-bayes-implementation machine-learning naive-bayes-classifier python
Last synced: 4 months ago
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A Python program to classify statistical data about the handwritten numbers.
- Host: GitHub
- URL: https://github.com/meqdaddev/numbers-recognition-by-naive-bayes-classifier
- Owner: MeqdadDev
- Created: 2018-05-08T19:42:50.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2018-05-08T20:20:44.000Z (about 7 years ago)
- Last Synced: 2025-01-10T09:59:19.397Z (6 months ago)
- Topics: classification, gaussian-naive-bayes-implementation, machine-learning, naive-bayes-classifier, python
- Language: Python
- Homepage:
- Size: 4.88 KB
- Stars: 1
- Watchers: 0
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Numbers Recognition by Naive Bayes classifier
### An employment for the Bayesian classifier for a handwritten digits recognition application.
### The following are some samples of the images that are used for training and testing.
### There are many features that can be used for this application; however, we will use the color (black/white) of each pixel to form the feature vectors of 120 images.
### For those digits, there are vectors, it contains 120 digits, 40 for digit (4) and 40 for digit (7) and 40 for digit (9).
### We used 4-fold cross-validation in our evaluation.
## Done by: Meqdad Darweesh