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awesome-python-for-data-science
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| python-tutorial | awesome-python-for-data-science | |
|---|---|---|
| 2 | 7 | |
| 1,271 | 66 | |
| - | - | |
| 0.0 | 7.3 | |
| over 1 year ago | 5 months ago | |
| Python | Jupyter Notebook | |
| GNU General Public License v3.0 or later | - |
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python-tutorial
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Learning.py
Other poster listed basics rather well. I recommend to check computer-science curriculums that go with python. You will find plenty of content, I know edx.org offers free video courses but personally I recommend to read papers/books to get all the basics and reproduce stuff in your own projects. A quick google gave me this as an example: https://github.com/Akuli/python-tutorial (github has great content)
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Python Free Resources
Python 3 Tutorial
awesome-python-for-data-science
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[D] Best tools to learn data science nowadays?
We're updating our awesome-python-for-data-science repository.
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Embarking on a Journey of 99 Data Science Projects - From Beginner to Expert
Sounds like an amazing journey! Feel free to add your projects on our awesome-python-for-data-science repo as you go! And in case you need a hand or feedback on the projects, we'll be happy to help at the Data-Centric AI Community.
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[D] What is the best way to learn machine learning?
We've started a nice repo on the DS roadmap: https://github.com/Data-Centric-AI-Community/awesome-python-for-data-science/tree/main
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Where can I find data science projects to gain more experience.
Hey! You can find several resources online, check out this repo. Also, if you're up for it, we are running aproject on synthetic data (instructions are given weekly) on the Data-Centric AI Community. You'll find the #ds-projects channel and the #nist-challenge project where we're currently working on.
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Hands-on Data-Centric AI: Data Preparation tuning - Why and how?
We made a tutorial following a fully Data-Centric AI pipeline for fraud detection! The material is freely available, let us know what you think! :)
- Hands-On Data-Centric Preparation Tuning – Why and How?
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I'm new to data science. Where to start?
You're very much welcome into the Data-Centric AI Community, take a look at our awesome-python-for-data-science repo: https://github.com/Data-Centric-AI-Community/awesome-python-for-data-science
What are some alternatives?
python-minecraft-clone - Source code for each episode of my Minecraft clone in Python YouTube tutorial series.
ydata-synthetic - Synthetic data generators for tabular and time-series data
Learning-Python - This repo is made for the Learning Python blog course. In this course, all relevant material is provided for the course. For any suggestions, feedback or doubts, feel free to contact me via LinkedIn or Gmail.
rgb-to-hex - Python script to convert an RGB text sequence into HEX Code
bigpython - Source code for Big Python tutorials on YouTube
ultimate-python - Ultimate Python study guide for newcomers and professionals alike. :snake: :snake: :snake:
python-beginner-programming-exercises - Practice your Python programming skills with this interactive and auto-graded set of exercises.
ml-earth-observation-101 - An introduction to applying machine learning to satellite imagery (remote sensing).
docker_django_postgres_template - A basic template for Django. Includes several custom user models to choose from.
mud-pi - A simple MUD server in Python, for teaching purposes, which could be run on a Raspberry Pi
code-for-blog - Code for various tutorials and programs I've written about on my blog
Data-Science-Resources - Data Science related resources and cheatsheets