kaggle-courses
awesome-ml-blogs
| kaggle-courses | awesome-ml-blogs | |
|---|---|---|
| 4 | 1 | |
| 47 | 95 | |
| - | - | |
| 2.6 | 1.8 | |
| 6 months ago | almost 2 years ago | |
| Jupyter Notebook | ||
| - | MIT License |
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
- Completed all the Kaggle courses.
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Kaggle certification
thunderstroke325/kaggle-courses: Courses on Kaggle (github.com)
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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
awesome-ml-blogs
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Curated list of Machine Learning Blogs
Hi everyone! 👋 When I stumbled upon new interesting blog posts, I always tried to remember to come back later on to check for new content on the blog. It never worked! Rather than relying on my memory, I decided to have them all in a curated list. Check it out: awesome-ml-blogs.
What are some alternatives?
langchain-course - Learn to build and deploy AI apps.
applied-ml - 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
ppde642 - USC urban data science course series with Python and Jupyter
awesome-artificial-intelligence-research - A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.
LlamaIndex-course - Learn to build and deploy AI apps.
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.
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.
Awesome-pytorch-list - A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
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.
retvec - RETVec is an efficient, multilingual, and adversarially-robust text vectorizer.
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