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learning-r-resources

Here you can find a list of resources that have and continue helping me in my process of learning/ teaching R.

learntidytext

Learn about text mining 📄 with tidy data principles

lectures

Lecture notes for EC 607

liwc-python

Linguistic Inquiry and Word Count (LIWC) analyzer

lost-stats.github.io

Source code for the Library of Statistical Techniques

machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

making-maps

This repository collects scripts to create maps with R.

maps

Repository for all spatial data.

msd2017

Modeling Social Data, Columbia University (Spring 2017)

msd2019

Modeling Social Data, Columbia University (Spring 2019)

msd2019-notes

Scribe notes for Modeling Social Data, Columbia University (Spring 2019)

nba-player-advanced-metrics

Historical RAPTOR and other NBA data.

nfl-elo-game

Data and code for FiveThirtyEight's NFL game

nlp_ml_visualization_tutorial

This is a step by step tutorial for text analyst who want an easy start to basic and and common techniques in NLP, Text Analysis, Machine Learning, Topic Modelling and corpus Linguistics. The tutorial is pat of the "Data Visualisation Workshop for Critical Computational Discourse" at the Data Science Institute at Lancaster University, UK. Presented by Dr Mahmoud El-Haj https://www.lancaster.ac.uk/staff/elhaj

ona_book

Handbook of Graphs and Networks in People Analytics

phdtextanalysis

pincodeboundary

Polygon Extents of Pincodes

polisci150b

Machine Learning for Social Science

practical-python

Practical Python Programming (course by @dabeaz)

propensity_modelling

Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign

propensitytoconvert

Propensity models make true predictions about a customer’s future behavior. With propensity models you can truly anticipate a customer's future behavior. Here we focus on building a combination of a Propensity to convert and a Propensity to buy models that can influence the kind of marketing campaigns we adopt and who we decide to target (predicted converters vs non-converters) leading to spend optimizations that eventually increase the ROI on digital marketing campaigns.

ps239t

Introduction to Computational Tools and Techniques for Social Research

ps239t-1

Introduction to Computational Tools for Social Science

psych252

Statistical Methods for Behavioral and Social Sciences

python-business-analytics

Python solutions to solve practical business problems.

python-guide

Python best practices guidebook, written for humans.

python_course

Lecture notes and code from the course Programming for the Behavioral Sciences

python_julia_structural_behavioral_economics

Python and Julia Code for Structural Behavioral Economics

qgis

QGIS is a free, open source, cross platform (lin/win/mac) geographical information system (GIS)

quanteda

An R package for the Quantitative Analysis of Textual Data