wharton

Final project using a survey commissioned by Buzzfeed to identify the factors that best predict whether someone can correctly distinguish between accurate and inaccurate news headlines

wharton stat701

Updated Dec 23, 2017
HTML

jrfarrer / oidd898_hw2

Star

A homework assignment from Seth Stephens-Davidowitz's class called Understanding Behavior with Big Data

wharton

Updated Dec 23, 2017
TeX

jrfarrer / fnce611_hw2

Star

NPV, IRR, and capital budgeting

wharton fnce611

Updated Dec 23, 2017

jrfarrer / fnce611_hw3

Star

Diversification, efficient portfolios, capital market line, and CAPM

wharton fnce611

Updated Dec 23, 2017

jrfarrer / stat701_hw1

Star

Linear regression using different variable selection techniques

wharton stat701

Updated Dec 23, 2017
HTML

jrfarrer / mktg776_p1

Star

Applying NBD count models to examine the behavior of Wharton MBA students on the messaging platform GroupMe

mktg776 wharton

Updated Dec 23, 2017
HTML

jrfarrer / mktg776_hw5

Star

Timing models such as the exponential-gamma to measure time to purchase

mktg776 wharton

Updated Dec 23, 2017

jrfarrer / mktg776_hw7

Star

Latent-class count models using the NBD and Poisson

mktg776 wharton

Updated Dec 23, 2017
HTML

jrfarrer / stat701_hw2

Star

Classification using logistic regression and model selection criteria

wharton stat701

Updated Dec 23, 2017
HTML

jrfarrer / exploratory_data_analysis_lecture

Star

A lecture on the basics of exploratory data analysis using tidyverse as a TA for Wharton's Statistics Department's STAT701 - Modern Data Mining.

ta wharton stat701

Updated Dec 23, 2017
HTML

jrfarrer / stat701_hw3

Star

Regularization using LASSO and ridge regression; cross-validation for parameter selection

wharton stat701

Updated Dec 23, 2017
HTML

jrfarrer / mktg776_hw2

Star

Modeling count data using the negative binomial distribution

mktg776 wharton

Updated Dec 23, 2017

steliosspap / footballpredictions

Star

This project was developed as part of the Wharton High School Data Science Competition(https://wsb.wharton.upenn.edu/wharton-data-competition/), organized by the Wharton Sports Analytics and Business Initiative. The competition provided teams with simulated soccer league data to develop predictive models for playoff outcomes.

python machine-learning logistic-regression sports-analytics wharton

Updated Apr 24, 2025
Python

jrfarrer / mktg776_hw4

Star

Modeling choice data with the beta-binomial and Empirical Bayes

mktg776 wharton

Updated Dec 23, 2017

jrfarrer / mktg776_hw6

Star

Discounted expected residual lifetime value using the Beta-discrete-Weibull; integrated models such as BG/BB

mktg776 wharton

Updated Dec 23, 2017
HTML

jrfarrer / coursematch_f17

Star

Builds Google Sheet (600+ visits) with course and instructor evaluations and clearing prices distributed from the Wharton Analytics Club; visualization to help select courses

wharton coursematch

Updated Dec 23, 2017
HTML

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dobriban / Topics-in-deep-learning

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jrfarrer / mktg776_hw2

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