kaggle-solutions VS jube

Compare kaggle-solutions vs jube and see what are their differences.

jube

Jube is an open-source software designed for monitoring transactions and events. It offers a range of powerful features including real-time data wrangling, artificial intelligence, decision making, and case management. Jube's exceptional performance is particularly evident in its application to fraud prevention and abuse detection scenarios. (by jube-home)
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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kaggle-solutions jube
8 1
3,753 25
- -
6.4 6.6
25 days ago 4 days ago
HTML C#
MIT License GNU Affero General Public License v3.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

kaggle-solutions

Posts with mentions or reviews of kaggle-solutions. We have used some of these posts to build our list of alternatives and similar projects.

jube

Posts with mentions or reviews of jube. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing kaggle-solutions and jube you can also consider the following projects:

datascience - Curated list of Python resources for data science.

SentryPeerHQ - Fraud Detection for VoIP. Use SentryPeer® HQ to help prevent VoIP cyberattacks and fraudulent VoIP phone calls (toll fraud) at https://sentrypeer.com

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netzero - Data visualization of each country's efforts toward net zero emission using Python

data-science-interviews - Data science interview questions and answers

freecodecamp-open_source - Hope we can use this to learn how to effectively contribute to open source with all its facets using this free resource . Its important we support this project as I will partly donate to the main freeCodeCamp project .If you want to contribute to the main project go to: https://contribute.freecodecamp.org/#/ and if you want to learn to code for free using freecodecamp's curriculum go to: https://www.freecodecamp.org/

catboost - A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

oisru - Repository for the Open Information Security Risk Universe