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content-analysis-2020

Assignments for Computational Content Analysis 2020

content-analysis-2021

Jupyter Notebooks to follow for each week

course-content

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

data-and-code

Some notes, daily code, data, etc. for 40800

dunnetttests

:exclamation: This is a read-only mirror of the CRAN R package repository. DunnettTests — Software implementation of step-down and step-up Dunnett test<U+000a>procedures

large_scale_computing_final_project

The final project for MACS 30123 Large-scale Computing for the Social Sciences (Spring 2020).

largescalecomputing_s20

This is the course repository for the Spring 2020 iteration of MACS 30123 "Large-Scale Computing for the Social Sciences" at the University of Chicago.

lucem_illud

Helper functions for the homework notebooks with scripts for text processing and data loading.

luxin-tian.github.io

mosco_ab_test

Mosco is a set of statistical toolkits for A/B test hypothesis testing. Powered by Streamlit, Mosco provides a web-based server-side app interface and is designed for small-to-medium firms to perform A/B test analysis for business decision making.

museum

ncov2019

A Python package that provides tools to access the statistics of the 2019 Novel Coronavirus.

pandasgui

A GUI for Pandas DataFrames

persp-model-econ_w20

Course site for MACS 30150 (Winter 2020) - Perspectives on Computational Modeling for Economics

persp-research-econ_spr20

Course site for MACS 30250 (Spring 2020) - Perspectives on Computational Research in Economics

rearrange_my_graphs

Rearrange group of graphs and figures into matrices in LaTeX.

rlb-dp

Real-Time Bidding by Reinforcement Learning in Display Advertising

scoring-neighborhoods-on-the-earth

An open source computational social science project based on crowdsourcing surveys to humans.

spatial_data_science

tutorials-homework-notebooks

This repository has the tutorial notebooks which you will be using for your HW. The notebooks will largely be run on COLAB.

ungdc

This is the final project of the Computational Content Analysis (Winter 2020) at the University of Chicago. The authors are Luxin Tian and Heather Chen.

yahoo_lda

Yahoo!'s topic modelling framework using Latent Dirichlet Allocation