DataScience vs julia_titanic_model

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DataScience		julia_titanic_model
	Project
9	Mentions	1
478	Stars	3
0.4%	Growth	-
0.0	Activity	0.0
about 1 year ago	Latest Commit	about 1 year ago
Jupyter Notebook	Language	Jupyter Notebook
MIT License	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.

DataScience

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

Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service
13 projects | dev.to | 17 Feb 2023

For all topics that explained briefly, I provided the links with more thorough documentation. In addition, I would highly recommend reading the Julia Data Science online book and learn the great set of machine learning examples in Julia Academy Data Science GitHub repository.
DataScience: NEW Courses - star count:421.0
1 project | /r/algoprojects | 29 Oct 2022

1 project | /r/algoprojects | 28 Oct 2022

1 project | /r/algoprojects | 27 Oct 2022

1 project | /r/algoprojects | 26 Oct 2022

1 project | /r/algoprojects | 25 Oct 2022

1 project | /r/algoprojects | 24 Oct 2022

1 project | /r/algoprojects | 23 Oct 2022
Error message: TypeError
1 project | /r/Julia | 29 Jun 2021

So, I just decided to try to learn Julia, and started by following the Julia for DataScience lectures on JuliaAcademy. In the first lecture, I get instructed to clone the DataScience repository on GitHub. According to instructions, I activated the environment with activate and check the status (status). I then ran instantiate to update any necessary packages, and get the following error message:

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.

Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service
13 projects | dev.to | 17 Feb 2023

What are some alternatives?

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

Zygote-Mutating-Arrays-WorkAround.jl - A tutorial on how to work around ‘Mutating arrays is not supported’ error while performing automatic differentiation (AD) using the Julia package Zygote.

PlotDocs.jl - Documentation for Plots.jl

Julia-on-Colab - Notebook for running Julia on Google Colab

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

DataFrames.jl - In-memory tabular data in Julia

NumPy - The fundamental package for scientific computing with Python.

cheatsheets - Official Matplotlib cheat sheets

ThreeBodyBot - Poorly written code that generates moderately exciting plots of a very specific physics phenomenon that enthralls dozens of us around the globe.

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

HTTP.jl - HTTP for Julia