dbg-pds VS Hello-Kaggle

Compare dbg-pds vs Hello-Kaggle and see what are their differences.

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dbg-pds Hello-Kaggle
1 4
157 80
- -
0.4 3.8
over 3 years ago about 4 years ago
- MIT License
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.

dbg-pds

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

Hello-Kaggle

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

What are some alternatives?

When comparing dbg-pds and Hello-Kaggle you can also consider the following projects:

ActivitySchema - Repository for the ActivitySchema spec and supporting materials

machine-learning-roadmap - A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

apple-appstore-apps - Apple AppStore Apps dataset. (1.2 million App Data) and 21 attributes

submarine - Submarine is Cloud Native Machine Learning Platform.

finance-go - :bar_chart: Financial markets data library implemented in go.

lemon-dataset - Lemons quality control dataset

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