Data-science-best-resources VS datasciencecoursera

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

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Data-science-best-resources datasciencecoursera
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2,755 2,196
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0.0 0.0
3 months ago about 1 year ago
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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.

datasciencecoursera

Posts with mentions or reviews of datasciencecoursera. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

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

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

random-dose-of-knowledge - Using the latest Software Engineering practices to create a modern and simple app.

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

data-science-interviews - Data science interview questions and answers

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

H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

free-data-science-books - Free resources for learning data science

metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!

IntRo - Introduction to R for health data

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

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

lme4cens - Simple Mixed Effect Models and Censoring