Workshops VS data-science-notes

Compare Workshops vs data-science-notes and see what are their differences.

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Workshops data-science-notes
1 1
354 28
-0.8% -
6.3 0.0
4 months ago over 1 year ago
Jupyter Notebook Jupyter Notebook
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.

Workshops

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

We haven't tracked posts mentioning Workshops yet.
Tracking mentions began in Dec 2020.

data-science-notes

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

We haven't tracked posts mentioning data-science-notes yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Workshops and data-science-notes you can also consider the following projects:

MAPIE - A scikit-learn-compatible module for estimating prediction intervals.

tensor-house - A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Data-science - Collection of useful data science topics along with articles, videos, and code

60-Days-of-Data-Science-and-ML - 60 Days of Data Science and ML

it-salary-analysis - 💰 Analysis of Salaries in IT Roles: DevOps, Cyber Security, and AI

strava-analysis - 🏃📊 Using strava to do personal analyses and to practice data scientist skills.

linear_elasticity_3D_fenics - Finite element modeling for linear elasticity problem in 3D by using FEniCS software

datacamp - 🍧 DataCamp data-science and machine learning courses

nlpaug - Data augmentation for NLP

DataScienceProjects

Network-Intrusion-Detection-Using-Machine-Learning - A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach