kaggle-courses VS retvec

Compare kaggle-courses vs retvec and see what are their differences.

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kaggle-courses retvec
4 2
47 269
- 1.1%
2.6 6.7
6 months ago about 1 month ago
Jupyter Notebook Jupyter Notebook
- Apache License 2.0
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-courses

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

retvec

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

What are some alternatives?

When comparing kaggle-courses and retvec you can also consider the following projects:

langchain-course - Learn to build and deploy AI apps.

ppde642 - USC urban data science course series with Python and Jupyter

LlamaIndex-course - Learn to build and deploy AI apps.

Learn-Datascience-For-Free - This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in Twitter.

global-temp-change-animation - This animated map shows the change in surface temperature around the world from 1970 to 2021, based on data from Kaggle.

awesome-ml-blogs - Curated list of technical blogs on machine learning ยท AI/ML/DL/CV/NLP/MLOps

visuallayer - Simplify Your Visual Data Ops. Find and visualize issues with your computer vision datasets such as duplicates, anomalies, data leakage, mislabels and others.

deepcourse - Learn the Deep Learning for Computer Vision in three steps: theory from base to SotA, code in PyTorch, and space-repetition with Anki

ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all