Data-Science-Roadmap VS Michael-s-Data-Science-Curriculum

Compare Data-Science-Roadmap vs Michael-s-Data-Science-Curriculum and see what are their differences.

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Data-Science-Roadmap Michael-s-Data-Science-Curriculum
4 2
2,853 396
- -
8.7 0.0
5 months ago over 2 years ago
MIT License -
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.

Data-Science-Roadmap

Posts with mentions or reviews of Data-Science-Roadmap. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-04.

Michael-s-Data-Science-Curriculum

Posts with mentions or reviews of Michael-s-Data-Science-Curriculum. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-01.

What are some alternatives?

When comparing Data-Science-Roadmap and Michael-s-Data-Science-Curriculum you can also consider the following projects:

data-engineer-roadmap - Roadmap to becoming a data engineer in 2021

scikit-learn - scikit-learn: machine learning in Python

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

shallow-deep-learning - The code and slides for my "A Shallow Introduction to Deep Learning" workshop.

stat-cookbook - :orange_book: The probability and statistics cookbook

Michael-s-Guide-to-Becoming-a-Data-Scientist - I was once asked about transitioning to a career in data science by three different UChicago grad students over a short period of time, so I decided to put together this outline in case anyone else was curious.

Data-Science-Cheatsheet - A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

datascience - Curated list of Python resources for data science.

awesome_time_series_in_python - This curated list contains python packages for time series analysis

Data-science-best-resources - Carefully curated resource links for data science in one place

Portfolio-Guide - A guide and summary to my projects and case studies.

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.