Data-science-best-resources VS IntRo

Compare Data-science-best-resources vs IntRo and see what are their differences.

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Data-science-best-resources IntRo
2 1
1,874 5
- -
0.0 0.0
8 days ago about 2 months 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-best-resources

Posts with mentions or reviews of Data-science-best-resources. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-13.

IntRo

Posts with mentions or reviews of IntRo. We have used some of these posts to build our list of alternatives and similar projects.
  • Courses on R for Medical Research
    1 project | reddit.com/r/rstats | 22 Dec 2020
    I’ve prepared a 5-session introduction to R with the tidyverse, mainly focussing on the basics and data management (which is more important than stats when you start, IMO). Have a look https://github.com/andreamazzella/IntRo

What are some alternatives?

When comparing Data-science-best-resources and IntRo you can also consider the following projects:

manjaro-linux - Shell scripts for setting up Manjaro Linux for Python programming and deep learning

cheat-sheet-pdf - 📜 A Cheat-Sheet Collection from the WWW

100-Days-Of-ML-Code - 100 Days of ML Coding

looper - A resource list for causality in statistics, data science and physics

Blazor-MachineIntelligence - Centralized repository of my Blazor apps with Machine Intelligence (Statistics, Analytics, Machine Learning, AI, Information Retrieval etc.). This repository will coalesce all of my Machine Intelligence repos in a single area and point to their respective: live demo, source code, video & presentation locations.

Remote-Work-and-Study-Resources - Free services, tools, articles and other resources for remote workers and distance learners

awesome-artificial-intelligence - A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

GPBoost - Combining tree-boosting with Gaussian process and mixed effects models

notes - Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.

datasciencecoursera - Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

data-science-blogs - A curated list of data science blogs