handson-ml VS Machine-Learning-Specialization-Coursera

Compare handson-ml vs Machine-Learning-Specialization-Coursera and see what are their differences.

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handson-ml Machine-Learning-Specialization-Coursera
1 4
25,016 1,194
- -
1.3 8.6
about 2 months ago 8 days ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 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.


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

We haven't tracked posts mentioning handson-ml yet.
Tracking mentions began in Dec 2020.


Posts with mentions or reviews of Machine-Learning-Specialization-Coursera. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-05.

What are some alternatives?

When comparing handson-ml and Machine-Learning-Specialization-Coursera you can also consider the following projects:

Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions - Solutions of Reinforcement Learning, An Introduction

cs229-2018-autumn - All notes and materials for the CS229: Machine Learning course by Stanford University

coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Spotify_Song_Recommender - This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.

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

Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.

CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.

tensorflow - An Open Source Machine Learning Framework for Everyone

machine_learning_basics - Plain python implementations of basic machine learning algorithms

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

python-machine-learning-book-3rd-edition - The "Python Machine Learning (3rd edition)" book code repository