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advanced-machine-learning-specialization

Advanced Machine Learning Specialization on Coursera

arcgis-python-api

Documentation and samples for ArcGIS API for Python

awesome-ml-courses

Awesome free machine learning and AI courses with video lectures.

awesome-quant

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

azure-utah-accidents-prediction

Azure Machine Learning Service for car accidents prediction

bandits

Python library for Multi-Armed Bandits

calibre_library

Personal Collection

cartpole

OpenAI's cartpole env solver.

csinva.github.io

Slides, paper notes, class notes, blog posts, and research on machine learning, statistics, and artificial intelligence.

datasynthesizer

five-video-classification-methods

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

forecasting

Time Series Forecasting Best Practices & Examples

forecastingprinciplepractices

Forecasting: Principles and Practice (2nd ed)

ganhacks

starter from "How to Train a GAN?" at NIPS2016

garch-rac

Repository for GARCH tutorial paper in RAC

interpretable-ml-book

Book about interpretable machine learning

keras

Deep Learning for humans

keras-gan

Keras implementations of Generative Adversarial Networks.

linearalgebra_r

Study group for linear algebra, linear programming and plus little bit more

marketanalysis

Market Analysis Course with interactive RTutor problemsets, Videos and Quizzes

neovim-config

pdf_hide

A steganographic tool in Python for hiding data inside PDF files

probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

pyright

Static type checker for Python

pyro

Deep universal probabilistic programming with Python and PyTorch

statarb

tests-as-linear

Common statistical tests are linear models (or: how to teach stats)

timeseries_shootout

tsm

Time Series Modelling

ucb_w205_crook_supplement

UC Berkeley, W205 Data Engineering, 2018 Spring, Kevin Crook's supplement