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Awesome Dive into Machine Learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn!

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Last Update: Dec. 4, 2021, 3:04 p.m.

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Dive into Machine Learning

If you prefer local installation

Cloud-based options

A curated list of awesome Jupyter projects, libraries and resources

2.5K
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81d
CC-BY-SA-4.0

🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.

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30d
CC-BY-SA-4.0

Let's go!

A Few Useful Things to Know about Machine Learning

[...] As a rule of thumb, a dumb algorithm with lots and lots of data beats a clever one with modest amounts of it. (After all, machine learning is all about letting data do the heavy lifting.)"

Jargon note

Just about time for a break...

Ryan Adams talks about starting simple, as we discussed above. Adams also stresses the importance of feature engineering. Feature engineering is an exercise of the "knowledge" Domingos writes about. In a later episode, they share many concrete tips for feature engineering.

Play to learn

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

5.14K
1.92K
1y 50d
n/a

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

1.13K
198
119d
MIT

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

18.48K
3.44K
5m
MIT

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

18.07K
8.72K
31d
Apache-2.0

Jupyter metapackage for installation, docs and chat

12.91K
3.33K
32d
BSD-3-Clause

Tips for studying

A complete daily plan for studying to become a machine learning engineer.

25.48K
5.97K
106d
CC-BY-SA-4.0

advocate the learn-by-doing approach, as we're doing here. You'll get various other tips that are easy to apply, but go a long way to make your time investment more effective.

Other courses

Supplement: Learning Pandas well

Supplement: Cheat Sheets

Risks

Welcome to the Danger Zone

Towards Expertise

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

3.83K
31.09K
8m
n/a

Ask for Peer Review

Production, Deployment,

This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

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MIT

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

10.26K
1.42K
46d
MIT

This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.

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CC0-1.0

A curated list of references for MLOps

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1.03K
33d
n/a

Deep Learning

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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18d
MIT

ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

1.47K
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2y 7m
Apache-2.0

Easier sharing of deep learning models and demos

Containers for machine learning

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Apache-2.0

Big data

More Data Science materials

Optional: Bayesian Statistics and Machine Learning

Finding Open-Source Libraries

A curated list of awesome Machine Learning frameworks, libraries and software.

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11d
n/a

Curated decibans of scientific programming resources in Python.

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Curated decibans of Julia programming language.

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37d
n/a

More ways to "Dive into Machine Learning"

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

5.14K
1.92K
1y 50d
n/a

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

18.07K
8.72K
31d
Apache-2.0

The "Python Machine Learning (3rd edition)" book code repository

2.81K
1.23K
99d
MIT

A complete daily plan for studying to become a machine learning engineer.

25.48K
5.97K
106d
CC-BY-SA-4.0