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spring2022

Repository for the Spring 2022 Computational Social Science Workshop

starbucks_people_analytics

Starbucks project shows how I utilized the ETL process using python pandas and matplotlib.

statistical-analysis

Repository focused on statistical analysis and exploration used on various data sets for academic, personal and professional projects.

statistics-for-data-science

Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to know data in a much better way and explains the behavior of the data based upon certain factors. It has many Elements which help us to understand the data better that includes Probability, Distributions, Descriptive Analysis, Inferential Analysis, Comparative Analysis, Chi-Square Test, T Test, Z test, AB Testing etc.

statistics-using-r

Implemented some statistical methods using R.

stgdpg7

streamlit-demo

streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

streamlit-folium

Streamlit Component for rendering Folium maps

streamlit-hr-analytics

Create Web Apps Using Streamlit

streamlit_app_gallery

This is a multi-page streamlit app to showcase Sharone's streamlit app examples

summer-institute

Summer Institutes in Computational Social Science

tad-s22

PLSC 21510/31510: Introduction to Text as Data for Social Science (Spring 2022)

temel-komutlar

temelgitelkitabi

Temel Git Bilgilerini İçeren Döküman

text-analytics

Repository focused on text analytics for various datasets used in academic, personal and professional projects.

text-analytics-uchicago

I was a visiting scholar at the University of Chicago 2021-2022 where I took a grad/undergrad class called Inroduction to Text as Data for Social Science. The class focused on APIs and web-scraping. It also focused on natural language processing (NLP), machine learning, sentiment analysis, topic models, supervised classification, and word embeddings. These are some of the projects I did in class.

text-mining-r-part-1

text-mining-r-part-2-

text-summarization-guide

Examples of models for Text Summarization using AWS SageMaker and W&B. Using Bi-LSTMs, Attention, Pointer Generator, Transformers, T5 and transformer library

text_econ_2022

Materials for PhD course on text data in economics

textasdata

This is a repo for a class on Text as Data

textdataanalysis

Text Learning

textminingr

textminingR provides a supporting workflow for text mining analysis. The web app incorporates quanteda (preprocess), stm (structural topic modeling), and ggraph as well as widyr (network analysis). tidytext was implemented to tidy non-tidy format objects.

the-applied-artificial-intelligence-workshop

the-artificial-intelligence-infrastructure-workshop

Loading, Maintaining and Updating Data to Allow Computers to Perform Human Tasks

the-data-science-workshop

A New, Interactive Approach to Learning Data Science

the-data-visualization-workshop

A New, Interactive Approach to Learning Data Visualization

the-data-wrangling-workshop

pandas, numpy, matplotlib, data-wrangling

the-deep-learning-workshop