Data-Science-Roadmap
stat-cookbook
| Data-Science-Roadmap | stat-cookbook | |
|---|---|---|
| 4 | 4 | |
| 2,853 | 2,150 | |
| - | - | |
| 8.7 | 2.6 | |
| 5 months ago | about 1 year ago | |
| TeX | ||
| MIT License | GNU General Public License v3.0 or later |
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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
stat-cookbook
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Introduction to Modern Statistics
For studying statistics, I put together a comprehensive cheat sheet: https://github.com/mavam/stat-cookbook
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Calc III vs Linear Algebra
I'd recommend looking for a copy of Harville's Matrix Algebra for Statisticians. Also download a copy of the matrix cookbook to have as a quick reference for homeworks or studying proofs. There is a similar stats cookbook that you may find helpful, but it's not as useful as the matrix one.
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Probability and Statistics Cookbook (2011) [pdf]
and it unstuck me from a little puzzle.
More recent version at: http://statistics.zone
- Relationships between statistical functions
What are some alternatives?
data-engineer-roadmap - Roadmap to becoming a data engineer in 2021
econometrics-cheatsheet - Multiple econometrics cheat sheets with a complete and summarize review going from the basics of an econometric model to the solution of the most popular problems.
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
systems-programming-cheat-sheet - Cheat sheet for x86-64 Unix systems programming
Data-Science-Cheatsheet - A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
ims - 📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationships and simulation-based inference. For v1, see https://openintro-ims.netlify.app.
awesome_time_series_in_python - This curated list contains python packages for time series analysis
jasp-desktop - JASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS
Portfolio-Guide - A guide and summary to my projects and case studies.
textbook - The textbook Computational and Inferential Thinking: The Foundations of Data Science
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.
cmake-cheatsheet - CMake Cheat Sheet