lachlandeer
Assistant Prof in Mktg at Tilburg // Research Fields: Quant Marketing & Social Media. // @carpentries instructor // @tilburgsciencehub content-dev lead
Tilburg UniversityNetherlands
lachlandeer's Stars
f/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
udlbook/udlbook
Understanding Deep Learning - Simon J.D. Prince
rmcelreath/stat_rethinking_2023
Statistical Rethinking Course for Jan-Mar 2023
ddsjoberg/gtsummary
Presentation-Ready Data Summary and Analytic Result Tables
ericmjl/Network-Analysis-Made-Simple
An introduction to network analysis and applied graph theory using Python and NetworkX
yangheng95/PyABSA
Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;
cpfiffer/julia-bootcamp-2022
MCKnaus/causalML-teaching
This repository consolidates my teaching material for "Causal Machine Learning".
msu-econ-data-analytics/course-materials
citp/privacy-policy-historical
Historical website privacy policies spanning over two decades.
danielmangrum/jobmarkethacker
A tool to create application packets for the academic economics job market
relatio-nlp/relatio
code base for constructing narrative statements from text
behrman/ros
Regression and Other Stories - Tidyverse Examples
pedrohcgs/DRDID
Doubly Robust Difference-in-Differences Estimators
shoepaladin/causalinference_crashcourse
Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
jonjoncardoso/quarto-template-for-university-courses
Quarto-based template for designing websites of university courses.
gesiscss/css_methods_python
A full course of self-explanatory and freely available materials on CSS methods
facebookexperimental/siMMMulator
siMMMulator is an open source R-package that helps users to generate simulated data to plug into Marketing Mix Models (MMMs). The package features a variety of functions to help users build a data set from scratch.
jsvine/buzzfeed-news-trending-strip
Dataset: BuzzFeed News “Trending” Strip, 2018–2023
jgitr/opossum
rdpackages-replication/CIT_2024_CUP
m-nolan/NSF-grant-award-scraper
National Science Foundation Award Dataset Scraper
hannesdatta/spotify-playlist-categories
Clustering 1.2 million playlists on Spotify
ochyzh/NetworkAnalysis
CHIDS-UMD/PhysicianReview
This repository is for data and codes for paper @JAMA-IM 2022 Receny of Online Physician Ratings
mattdobra/EconometricsLectureNotes
ucdavis-noyce/YouTube-Slant-Estimation
tilburgsciencehub/quarto_uvt_letterhead
Quarto template for Tilburg University letterhead