code VS machine_learning_complete

Compare code vs machine_learning_complete and see what are their differences.

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code machine_learning_complete
1 2
874 4,517
- -
0.0 5.9
3 months ago 8 months ago
Jupyter Notebook Jupyter Notebook
- 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.

code

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

machine_learning_complete

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

What are some alternatives?

When comparing code and machine_learning_complete you can also consider the following projects:

Shiny_Desktop_App - Deploy your R Shiny app(s) locally on Windows

embedding-encoder - Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.

gds_env - A containerised platform for Geographic Data Science

CardMap - Code to plot cardmarket orders on a map to show where my MtG cards ended up

python-machine-learning-book - The "Python Machine Learning (1st edition)" book code repository and info resource

event-transcripts - transcripts from our recorded events

ydata-quality - Data Quality assessment with one line of code

PtitPrince - python version of raincloud

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

Andrew-NG-Notes - This is Andrew NG Coursera Handwritten Notes.

project-atlas-sao-paulo - A project for the development of rich geospatial data from the city of São Paulo for use in Machine Learning models.

artificial-intelligence - AI projects in python, mostly Jupyter notebooks.