kaggle-courses
retvec
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 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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
- Completed all the Kaggle courses.
-
Kaggle certification
thunderstroke325/kaggle-courses: Courses on Kaggle (github.com)
-
Earned 10 Certifications on Kaggle.
You can find all my work on my Github repository. If this repo is helpful for you, you can star that one. https://github.com/thunderstroke325/kaggle-courses
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My First Certification in Data Science Field
This one is github repo of my Kaggle tutorial's works. https://github.com/thunderstroke325/kaggle-courses
retvec
What are some alternatives?
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