jsedoc / foster_2022

The Public Repo for TECH-GB. 2336: Data Science for Business Analytics

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Introduction

This repository includes 8 modules with Ipython Notebooks (that can be opened in Colab) created for the class Data Science for Business Analytics (NYU Stern School of Business, Fall 2022). Each module includes data, code and description of each task within the Data Science Framework.

Motivation

The creation and maintenance of this project attempts to show the work that can be done to solve different Data Science and Data Mining problems.

Installation

The basic libraries required for the notebooks are: pandas, numpy, datetime, os, sys, math, pickle, random, csv, matplotlib, pyplot, wordcloud, scipy, and sklearn.

Contributors

Prof. Foster Provost - NYU Stern School of Business Website

Pearl Yu Contact

These notebooks are based on the prior work (w/Prof. Provost) of: Ben Wolfson Contact Carlos Fernandez Github link Maria Zamora Github link Rob Moakler Github link

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The Public Repo for TECH-GB. 2336: Data Science for Business Analytics


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Language:Jupyter Notebook 99.8%Language:Python 0.2%