Data-Science-Free VS stanford-cs-229-machine-learning

Compare Data-Science-Free vs stanford-cs-229-machine-learning and see what are their differences.

Data-Science-Free

Free Resources For Data Science created by Shubham Kumar (by frontbenchHQ)
Machine Learning Deep Learning Statistics ml-cheatsheet supervised-learning Data Science ML Courses reinforcement-learning q-learning
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stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning (by afshinea)
Cheatsheet Machine Learning Data Science supervised-learning unsupervised-learning Deep Learning ml-cheatsheet cs229
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Data-Science-Free stanford-cs-229-machine-learning
7 1
283 16,526
3.9% -
10.0 0.0
almost 2 years ago almost 4 years ago
MIT License MIT License
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Data-Science-Free

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

stanford-cs-229-machine-learning

Posts with mentions or reviews of stanford-cs-229-machine-learning. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Data-Science-Free and stanford-cs-229-machine-learning you can also consider the following projects:

imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

machine-learning-roadmap - A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

applied-ml - 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

modern-php-cheatsheet - Cheatsheet for some PHP knowledge you will frequently encounter in modern projects.

dive-into-machine-learning - Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)

fsharp-cheatsheet - An updated cheat sheet for F# 🔷🦔💙💛🤍💚

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

mongodb-cheatsheet - Kick start with mongodb

pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

MoneroAddressesCS - An infographic about Monero Keys and Addresses, their relations and scopes

Data-Science-Free vs imodels stanford-cs-229-machine-learning vs machine-learning-roadmap Data-Science-Free vs polyaxon stanford-cs-229-machine-learning vs applied-ml Data-Science-Free vs yt-channels-DS-AI-ML-CS stanford-cs-229-machine-learning vs modern-php-cheatsheet Data-Science-Free vs dive-into-machine-learning stanford-cs-229-machine-learning vs fsharp-cheatsheet Data-Science-Free vs Andrew-NG-Notes stanford-cs-229-machine-learning vs mongodb-cheatsheet stanford-cs-229-machine-learning vs pyod stanford-cs-229-machine-learning vs MoneroAddressesCS