PtitPrince VS data-science-notes

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

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PtitPrince data-science-notes
1 1
232 35
- -
3.8 0.0
about 1 month 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.

PtitPrince

Posts with mentions or reviews of PtitPrince. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-03.

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.

What are some alternatives?

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

machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

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

Fast-F1 - FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry

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

joypy - Joyplots in Python with matplotlib & pandas :chart_with_upwards_trend:

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

forestplot - A Python package to make publication-ready but customizable coefficient plots.

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

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