Andrew-NG-Notes VS machine_learning_complete

Compare Andrew-NG-Notes vs machine_learning_complete and see what are their differences.

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Andrew-NG-Notes machine_learning_complete
1 2
2,266 4,517
- -
0.0 5.9
2 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.

Andrew-NG-Notes

Posts with mentions or reviews of Andrew-NG-Notes. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-18.

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 Andrew-NG-Notes and machine_learning_complete you can also consider the following projects:

Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera - Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes

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

gdrl - Grokking Deep Reinforcement Learning

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

fsdl-text-recognizer-2022-labs - Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022

event-transcripts - transcripts from our recorded events

DeepNeuralNetworksFromScratch - Different kinds of deep neural networks (DNNs) implemented from scratch using Python and NumPy, with a TensorFlow-like object-oriented API.

PtitPrince - python version of raincloud

strategy-ml-nn - This example shows how to use neural networks for writing a trading system on stocks.

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

embedml - pytorch like machine learning framework from scratch

awesome-data-centric-ai - Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖