julia_titanic_model VS cheatsheets

Compare julia_titanic_model vs cheatsheets and see what are their differences.

julia_titanic_model

Titanic machine learning model and web service (by AndreyGermanov)
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julia_titanic_model cheatsheets
1 126
3 7,256
- 0.4%
0.0 7.0
about 1 year ago 8 days ago
Jupyter Notebook Python
MIT License BSD 2-clause "Simplified" 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.

julia_titanic_model

Posts with mentions or reviews of julia_titanic_model. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-17.

cheatsheets

Posts with mentions or reviews of cheatsheets. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-25.

What are some alternatives?

When comparing julia_titanic_model and cheatsheets you can also consider the following projects:

PlotDocs.jl - Documentation for Plots.jl

finplot - Performant and effortless finance plotting for Python

DataScience - Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar

manim - A community-maintained Python framework for creating mathematical animations.

ScikitLearn.jl - Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/

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

NumPy - The fundamental package for scientific computing with Python.

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

JLD2.jl - HDF5-compatible file format in pure Julia

Keras - Deep Learning for humans

HTTP.jl - HTTP for Julia

geogebra - GeoGebra apps (mirror)