Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: wharton

usefulness/dependency-tree-diff-action

Github Action wrapper for the Jake Wharton's dependency-tree-diff tool

Language: Shell - Size: 499 KB - Last synced: 1 day ago - Pushed: 1 day ago - Stars: 10 - Forks: 7

dobriban/Topics-in-deep-learning

Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)

Language: HTML - Size: 293 MB - Last synced: about 2 months ago - Pushed: over 1 year ago - Stars: 94 - Forks: 18

usefulness/diffuse-action

Github Action wrapper for the Jake Wharton's Diffuse library

Language: Python - Size: 256 KB - Last synced: 15 days ago - Pushed: about 2 months ago - Stars: 10 - Forks: 0

shawna-tuli-silicon-valley/wharton-business-foundations

[Marketing] F22 Wharton | I virtually graduated with a Certificate in Introduction to Marketing from the Wharton School.

Size: 3.91 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

jrfarrer/oidd898_hw2

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

Language: TeX - Size: 1.15 MB - Last synced: over 1 year ago - Pushed: over 6 years ago - Stars: 2 - Forks: 1

jrfarrer/mktg776_hw6

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

Language: HTML - Size: 1.68 MB - Last synced: over 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

jrfarrer/fake_news_app

Shiny mobile app that has users select whether headlines are real or fake (from Buzzfeed survey); connects to mysql DB on EC2

Language: R - Size: 421 KB - Last synced: over 1 year ago - Pushed: over 6 years ago - Stars: 4 - Forks: 2

jrfarrer/fake_news

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

Language: HTML - Size: 3.97 MB - Last synced: about 1 month ago - Pushed: over 6 years ago - Stars: 3 - Forks: 0

jrfarrer/stat701_hw4

Text classification using logistic regression, SVM, and random forest; PCA

Language: HTML - Size: 1.8 MB - Last synced: over 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

jrfarrer/stat701_hw3

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

Language: HTML - Size: 2.3 MB - Last synced: over 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 1

jrfarrer/stat701_hw2

Classification using logistic regression and model selection criteria

Language: HTML - Size: 2.56 MB - Last synced: over 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

jrfarrer/stat701_miniproject

Building a model to predict whether or not a patient would be readmitted within 30 days after diabetic hospitalization

Language: HTML - Size: 1.62 MB - Last synced: over 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

jrfarrer/stat701_hw1

Linear regression using different variable selection techniques

Language: HTML - Size: 14.4 MB - Last synced: over 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

jrfarrer/exploratory_data_analysis_lecture

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

Language: HTML - Size: 5.79 MB - Last synced: over 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 2

jrfarrer/coursematch_f17

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

Language: HTML - Size: 2.17 MB - Last synced: over 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

jrfarrer/coursematch_s18

Builds Google Sheet (650+ visits) with course and instructor evaluations and clearing prices distributed from the Wharton Analytics Club; visualization to help select courses

Language: HTML - Size: 1.02 MB - Last synced: over 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

jrfarrer/fnce611_hw4

CAPM with Dell stock

Language: HTML - Size: 717 KB - Last synced: over 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

jrfarrer/fnce611_hw3

Diversification, efficient portfolios, capital market line, and CAPM

Size: 532 KB - Last synced: over 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

jrfarrer/fnce611_hw2

NPV, IRR, and capital budgeting

Size: 357 KB - Last synced: over 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

jrfarrer/fnce611_hw1

Perpetuities, annuities, and yield to maturity on corporate bonds

Size: 313 KB - Last synced: over 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

jrfarrer/dynamic_brand_equity

Assisted Wharton professors with data analysis for a paper on the changing of brand value over time

Language: HTML - Size: 689 KB - Last synced: about 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

jrfarrer/mktg776_p2

Implement timing model that will predict Dish Network’s subscriber acquisition in 2017

Language: HTML - Size: 3.18 MB - Last synced: over 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

jrfarrer/mktg776_p1

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

Language: HTML - Size: 9.05 MB - Last synced: over 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

jrfarrer/mktg776_hw7

Latent-class count models using the NBD and Poisson

Language: HTML - Size: 475 KB - Last synced: over 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

jrfarrer/mktg776_hw3

Brand concentration using count models; means and zeroes and method of moments estimation

Size: 617 KB - Last synced: over 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

jrfarrer/mktg776_hw1

Forecasting customer retention using the beta-geometric model

Size: 1.3 MB - Last synced: over 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

jrfarrer/mktg776_hw4

Modeling choice data with the beta-binomial and Empirical Bayes

Size: 559 KB - Last synced: over 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

jrfarrer/mktg776_hw2

Modeling count data using the negative binomial distribution

Size: 459 KB - Last synced: over 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

jrfarrer/mktg776_hw5

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

Size: 262 KB - Last synced: over 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0