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120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

353a

bay-area-restaurants-viz

booknlp

BookNLP, a natural language processing pipeline for books

cads-capstone

This is a capstone research project for my Certificate in Applied Data Science (CADS) at my undergraduate institution, Wesleyan University, on the topic of "Understanding the Variances in COVID-19 Pandemic Outcome - Excess Mortality - with Social, Cultural, and Environmental Factors", sponsored by Prof. Maryam Gooyabadi.

caps

cils4eu-project

Stanford EDS seminar research project on high school friendship networks & school satisfaction

conversational-uptake

Code and data for the paper "Measuring Conversational Uptake: A Case-Study on Student-Teacher Interactions"

covid-19-data

Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data

covid-policy-tracker

Systematic dataset of Covid-19 policy, from Oxford University

cs229-fall-2018

My solutions to the problem sets of Stanford CS229 (Fall 2018)!

cyanjiner.github.io

data-science-interview-prep

data-science-interview-resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

data-viz

datasciencespcoursenotes

Compiled Notes for all 9 courses in the Coursera Data Science Specialization

ds-job-prep-notes

This repo is currently for my personal use of preparing for data science summer intern (2023). Feel free to check out the deployed website or use this template for your personal learning use. Topics covered will include: Review of statistics, probability, A/B testing, ML & NLP models / techniques, SQL, and some common asked DS job interview questions.

edtm

This research project evaluates the classic Latent Dirichlet (LDA) and neural topic modeling with the application to a novel corpus of research in the domain of Education, and further investigates the "topic collapsing" problem in Dieng et al. (2020)’s implementation of the embedded topic model (ETM) .

elalytics-visualization-tool

example

miso-its

mortgage-market-expansion

This is a data analysis project on Exansion into Nebraska Mortgage Market for 2021 MMA Datathon.

nlu-materials

onewayanova

online-music-rating

peer-tutoring-program

This study used the data collected from Lehigh University's peer tutoring program which focused on 20 courses involving problem-solving skills over three academic years, 2003-04 through 2005-06. An OLS model and generalized liner mixed-effects models were used to measure effect of participation in tutoring in terms of hours spent getting tutored on exogenous final grade on subset of sample. Exploratory data analysis was performed to examine correlations between students' academic performance and other attributes including previous term GPA, high school rank, SAT scores, and demographic characteristics.

pli

prep-data-science-interview

qacr

rtweetstats

The goal of rtweetstats is to improve accessibility of Twitter analyses for the average R user through two functions; keystats and userstats. The former analyzes user-specified keywords and hashtags, returning an HTML ouput with various summary graphics while the latter analyzes the pages of user-specified Twitter users, returning an HTML output with account summary information as well as the user-specified number of most recent tweets.