mcc-ds-material VS ds-cheatsheets

Compare mcc-ds-material vs ds-cheatsheets and see what are their differences.

mcc-ds-material

A Resource for myself and others to learn Data Science, with many emphasis on FREE material. Setup by Matt C. (by mccurcio)

ds-cheatsheets

List of Data Science Cheatsheets to rule the world (by FavioVazquez)
InfluxDB - Power Real-Time Data Analytics at Scale
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
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mcc-ds-material ds-cheatsheets
1 2
6 12,570
- -
0.0 0.0
over 2 years ago over 1 year ago
MIT License 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.

mcc-ds-material

Posts with mentions or reviews of mcc-ds-material. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-04.

ds-cheatsheets

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

What are some alternatives?

When comparing mcc-ds-material and ds-cheatsheets you can also consider the following projects:

catboost - A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

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

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

Data-Science-Wiki - A wiki of DataScience, Statistics, Maths, R,Python, AI, Machine Learning, Automation, Devops Tools, Bash, Linux Tutorials, Scripts and Datasets

DataScienceResources - Open Source Data Science Resources.

mongodb-cheatsheet - Kick start with mongodb

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

fsharp-cheatsheet - An updated cheat sheet for F# 🔷🦔💙💛🤍💚

fortran-vs-python - A cheatsheet of Fortran syntax for Python programmers

awesome-conformal-prediction - A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

awesome-datascience - :memo: An awesome Data Science repository to learn and apply for real world problems.