eric-epstein-5747 Goto Github PK
Name: Eric G. Epstein
Type: User
Company: Insight Datascience
Bio: Fellow at Insight Datascience Cornell Univ. Ph.D. in Philosophy B.A. in Math & Phil., specialty in natural languages
Location: Ithaca, New York
Name: Eric G. Epstein
Type: User
Company: Insight Datascience
Bio: Fellow at Insight Datascience Cornell Univ. Ph.D. in Philosophy B.A. in Math & Phil., specialty in natural languages
Location: Ithaca, New York
Using state of the art speech-to-text models to transcribe interviews with my grandmother
Contains two utilities which: (1) extract addresses from table in .docx file into a .xlsx file, capturing last name in 1st column for easy alphabetization; (2) export addresses from such .xlsx file to .docx file that is (assumed to be) pre-formatted for pretty printing.
Contains a python script that unzips all .zip files in the cwd
Using government data, I identify some patterns of growth and decline in different industries across New York State.
Contains a utility for swapping columns in a csv file, plus a test suite and various related files. E.g., a utility that writes the test results to an html table which can be opened in a web browser.
Data science interview questions and answers
A checklist to maximize effective usage of time in data challenges
I took a large flat text file of anonymized email data and used a regex (see tablemaker_better) to capture the desired information in a csv file with three columns. This repo also contains a script for importing csv into R and generating histograms and further datasets from it. (Script to be run from an R console; needs to be rewritten if run from command line.)
In this project, I examine a large number of hotel reviews, identify the topics discussed, and surface, for each topic, an important sentence about that topic.
This repo contains my code for a tutorial in using a LSTM for text generation. The tutorial can be found here: https://adventuresinmachinelearning.com/keras-lstm-tutorial/
Contains my solutions to the exercises in John V. Guttag's "Introduction to Computation and Programming Using Python", 2nd Edition.
Is now a good time to go to prospect park?
In this project, I fit and assess a model that predicts energy demand based on weather conditions.
Analyze content on a page and give SEO feedback as well as render a snippet preview.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.