Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today. Learn more →
Top 6 naive-bayes-classifier Open-Source Projects
-
Scout Monitoring
Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
-
Empirical_Study_of_Ensemble_Learning_Methods
Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning
5. Avik-Jain/100-Days-Of-ML-Code - As the name implies, this repository offers a structured approach to learning machine learning with Python. It covers core ML principles and algorithms through real-world applications. https://github.com/Avik-Jain/100-Days-Of-ML-Code
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
naive-bayes-classifier related posts
-
Ship Faster by Organising Less
-
From a Day to 17 Minutes: How We’ve Dealt with Slow Build Times
-
100% User-Supported
-
Skiff is shutting down in six months
-
Show HN: Find consistent and conflict-free shortcuts for your app
-
A CEO's Guide to Emacs
-
Created a versus list for Note Taking Apps (last tab). What do you guys think? Did I miss anything?
-
A note from our sponsor - Scout Monitoring
www.scoutapm.com | 3 Jun 2024
Index
What are some of the best open-source naive-bayes-classifier projects? This list will help you:
Project | Stars | |
---|---|---|
1 | 100-Days-Of-ML-Code | 43,701 |
2 | CodeView | 857 |
3 | quickadd | 190 |
4 | Empirical_Study_of_Ensemble_Learning_Methods | 10 |
5 | twitter-stock-sentiment | 10 |
6 | classi-cine | 1 |
Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com