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awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

bap

Bayesian Analysis with Python (Second Edition)

causalpy

A Python package for causal inference in quasi-experimental settings

courses

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

data

Data and code behind the stories and interactives at FiveThirtyEight

datasciencecoursera

datasharing

The Leek group guide to data sharing

dlaicourse

Notebooks for learning deep learning

docs

TensorFlow documentation

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

faster

Fast Lane to Learning R!

faststat

Quick introduction to statistics for those with a probability background.

fromzeroton

Materials for From Zero To N (Grams): A Very Basic Bootcamp for Text Analysis in Python

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

labs

This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.

learn-algorithmic-trading

Learn Algorithmic Trading, Published by Packt

lim.tslib

lim interface for tslib time series library

math

The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.

natural-language-processing-with-tensorflow

Natural Language Processing with TensorFlow, published by Packt

openbbterminal

Investment Research for Everyone, Anywhere.

pdfminer

Python PDF Parser

practice_assignment

Practice assignment for the R programming class on Coursera

pyplot.jl

Plotting for Julia based on matplotlib.pyplot

python-course

Tutorial and introduction into programming with Python for the humanities and social sciences

qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

rgpt3

Making requests from R to ChatGPT and the GPT-3 API

solutions-to-a-students-guide-to-bayesian-statistics-by-ben-lambert

My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.

statrethinking_winter2019

Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019

test-repo

This is a test.

vlegt

Verty short course on evolutionary game theory