Skip to content

PranavInani/Naive-Bayes-Classification-on-iris

View on GitHub ↗Related repositories →

In this notebook, we apply a Naive Bayes classifier to the well-known Iris dataset. The Iris dataset comprises measurements of iris flowers from three species: Setosa, Versicolor, and Virginica. Our objective is to train the classifier to predict the species of iris flowers based on their sepal and petal measurements.

active 2024-03-262024-03-26 (UTC)

Complete coverage27,117 / 27,119 hourly files (100%) · 2 absent upstream2023-08-152026-09-17 (UTC)
Events
5
Pushes
2
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2024-03-26 to 2024-03-26. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
PranavInani2200

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.