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acmq

Analyse Causale et Méthodes Quantitatives

airmap

an-introduction-to-statistical-learning

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

ann-visualizer

A python library for visualizing Artificial Neural Networks (ANN)

applied-ml

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

astatur

R package to accompany "Applied Statistics using R"

autocorr

autoviz_test

A repository for testing the AutoViz library

bayesian-dm-code-examples

BDM Code examples from Win/OpenBUGS, CARBayes and INLA

bayesian-stats-with-r

Material for a workshop on Bayesian stats with R

bayesian_dm_nimble_code

Nimble code here

bmmrmd

Bayesian multilevel models for repeated measures data: A conceptual and practical introduction in R

brotools

causal-inference-using-quasi-experimental-methods

Causal Inference Using Quasi-Experimental Methods

cheatsheets

RStudio Cheat Sheets

choicemodeling

Programs in Cognitive Choice Modeling Book

coiled-resources

Notebooks that support blog posts and tech talks on Dask / Coiled.

compare-did-estimators

cornell-cs5785-applied-ml

Teaching materials for the applied machine learning course at Cornell Tech

covid-19-patient-health-analytics

A Boosted Random Forest Classification model was implemented to predict the outcome of the CoV-2 positive patients in China. Based on multiple features.

d3-in-jupyter-notebook

dashboard2023

data-science

Collection of useful data science topics along with articles, videos, and code

datasets-third-edition-multilevel-book

Here you will be able yo find the different datasets mentioned in the third edition of Multilevel analysis: Techniques and applications (Hox, J. J., Moerbeek, M., & Schoot, R, 2018)

dbtplyr

dbt package mimicking dplyr select-helpers semantics

dismapbook

Annex online Material for the CRC book: "Disease mapping: from foundations to multidimensional modeling"

doing-meta-analysis-in-r

All R codes for the guide "Doing Meta-Analysis in R"

ds-intermediate-2023

Class repo for DS intermediate level class 2023 cohort

ds-intro-class-2022

class repo for intro/basic class for 2022-2023 cohort

econometrics

Various code for machine-learning methods with applications to economics.