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applied-ml

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

awesome-full-stack-machine-courses

Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.

awesome-japanese

Awesome Japanese learning resource

awesome-machine-learning

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

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

awesome-quant-machine-learning-trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

baseball_r

Companion to Analyzing Baseball Data with R

cme211-notes

Notes for CME 211

code_recipe

coursera-ai-for-medicine-specialization

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses

coursera-gan-specialization

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

coursera-machine-learning-engineering-for-prod-mlops-specialization

Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai

coursera-natural-language-processing-specialization

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

data-prototyping-talk

Data Prototyping with Python (Slides & Resources from talk)

data-science

Collection of useful data science topics along with code and articles

datasciencecoursera

JHU_Data Science Specialties_Data Science's Tool Box

datasciencemasters

The Open Source Data Science Masters

datasharing

The Leek group guide to data sharing

efficient_python_tricks_and_tools_for_data_scientists

Efficient Python Tricks and Tools for Data Scientists

evolvis

Stanford stat290 project - Kyle Johnston and Stan Johnson

fullstack-nanodegree-vm

hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

journal

List of journals / magazine related to data science, mathematics, computing, quantitative analysis.

kag

lists

The definitive list of lists (of lists) curated on GitHub and elsewhere

mldl

Machine Learning and Deep Learning Resources

ol3

OpenLayers 3

p0002

First encounter of a dataset

playground

Play with neural networks!