Quantitative72

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

100-Days-Of-ML-Code

100 Days of ML Coding

arcgis-python-api

Documentation and samples for ArcGIS API for Python

Atlas

ATLAS is an open source software tool for researchers to conduct scientific analyses on standardized observational data

awesome-production-machine-learning

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

awesome-R

A curated list of awesome R packages, frameworks and software.

awesome-visualization-research

A list of recommended research papers and other readings on data visualization

binder

blog-posts

This repository hosts all the blog posts on machine learning, deep learning and statistical modeling.

blog_notesofdabbler

data-matching-software

A list of free data matching and record linkage software.

data-science-book

ebp_exercise

Data Set for Exercise in Evidence Based Practice

geoda

GeoDa: An introduction to spatial data analysis

Healthcare

Machine Leaning with Pimas Data

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries.

LEHD

LEHD aggregation and extraction

MEPS_OP

mimic-code

MIMIC Code Repository: Code shared by the research community for the MIMIC-III database

neural-networks-and-deep-learning

This is my assignment on Andrew Ng's course “neural networks and deep learning”

openrouteservice-r

:globe_with_meridians: R package to query openrouteservice.org

practical-sql

Code and Data for the book "Practical SQL" by Anthony DeBarros, published by No Starch Press (2018).

quantitative.github.io

Quantitative72.github.io

rstats-ed

List of courses teaching R

scikit-learn

scikit-learn: machine learning in Python

simplystats

Simply Statistics

site

Course materials for the Automating GIS processes -course, University of Helsinki, Finland

tensorwatch

Debugging, monitoring and visualization for Python Machine Learning and Data Science

USBuildingFootprints

Computer generated building footprints for the United States