Data-Science-Roadmap
Data-Science-Cheatsheet
| Data-Science-Roadmap | Data-Science-Cheatsheet | |
|---|---|---|
| 4 | 10 | |
| 2,853 | 4,501 | |
| - | - | |
| 8.7 | 0.9 | |
| 5 months ago | about 1 year ago | |
| TeX | ||
| 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.
Data-Science-Roadmap
- Road map data science/ machine learning
- Mudança de carreira- programação
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Career Roadmaps
Data science: https://github.com/Moataz-Elmesmary/Data-Science-Roadmap
- Data-Science-Roadmap: Data Science Roadmap from A to Z
Data-Science-Cheatsheet
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Starting my Data Odyssey - Need Help
As mentioned, I'm not the best person to give advice on this, but maybe you can check out a data science cheat sheet (e.g. here ), and that might help see the main "categories" of learning as well as the more important points that are in each of them.
- Cheat Sheet / Guide
- Data Science Cheat Sheet 2.0 - A 5-page data science cheatsheet by Aaron Wang
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Data Science Cheat Sheet 2.0 - A helpful 5-page data science cheatsheet to assist with exam reviews, interview prep, and anything in-between (PDF link is given in the comment section)
PDF: Data Science Cheat Sheet 2.0
- Best book to prepare for a machine learning interview
- Soon to be graduate majoring in mathematics, wanting to shift out of education - what other math careers are out there?
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[Project] I created a four-page Data Science Cheatsheet to assist with exam reviews, interview prep, and anything in-between [Cross-post from r/DataScience]
Not sure, didn't get any response from them, but you can find it here: https://github.com/aaronwangy/Data-Science-Cheatsheet
What are some alternatives?
data-engineer-roadmap - Roadmap to becoming a data engineer in 2021
eth-summaries - Summaries and study materials I've written over the course of my studies at ETH Zurich
Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai
unity-ml-agents-turret-defense - A reinforcement learning agent playing as the turret, where its goal is to allow ten friendly units to enter the base, and loses if an enemy unit has entered the base or if two friendly units were shot.
stat-cookbook - :orange_book: The probability and statistics cookbook
shabby-pages - ShabbyPages is a state-of-the-art corpus of born-digital document images with both ground truth and distorted versions appropriate for use in training models to reverse distortions and recover to original denoised documents.
awesome_time_series_in_python - This curated list contains python packages for time series analysis
the-turing-way - Host repository for The Turing Way: a how to guide for reproducible data science
Portfolio-Guide - A guide and summary to my projects and case studies.
Data-science-best-resources - Carefully curated resource links for data science in one place
www.mlcompendium.com - The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.
Mathematics-for-ML - 🧮 A collection of resources to learn mathematics for machine learning