python-machine-learning-book VS code

Compare python-machine-learning-book vs code and see what are their differences.

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python-machine-learning-book code
2 1
12,076 871
- -
0.0 0.0
over 1 year ago 3 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.

python-machine-learning-book

Posts with mentions or reviews of python-machine-learning-book. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-12.

code

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

What are some alternatives?

When comparing python-machine-learning-book and code you can also consider the following projects:

Time-series-classification-and-clustering-with-Reservoir-Computing - Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

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

artificial-intelligence-and-machine-learning - A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm

gds_env - A containerised platform for Geographic Data Science

Neural-Network-Steganography - Hide some secret 😎 data in a Neural Network - text, malicious software or watermark your NN

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

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

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

MLB-Pitch-Identification-with-ML - Identify the name of a pitch being thrown using a machine learning model.

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

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.