Analytics at NYU by JC Bonilla

Course Material: Business Analytics and Decision Support with R

Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign

Code Snippets & DataSets for Business Analytics & Data Mining/ Machine Learning Algorithms

Predicting Infection of Organization Endpoints by Cybersecurity Threats using Ensemble Machine Learning

MBA da FGV em Big Data e Business Analytics

Market Structure, Concentration, and Inequality Measures

This package contains datasets to illustrate machine learning algorithms in a Business Analytics (BA) course

This repository contains coursework for the Data Mining course in the MS Applied Business Analytics program at Boston University.

Credit Card Fraud Detection

Project 1.1 : A diamond distributor has recently decided to exit the market and has put up a set of 3,000 diamonds up for auction. Seeing this as a great opportunity to expand its inventory, a jewellery company has shown interest in making a bid. To decide how much to bid, the company’s analytics team used a large database of diamond prices to b…

Predicting the churn of customers in a Telecom company using classification algorithms.

This repo contains a full ETL pipeline coded in R. The script extracts data from Airtable, cleans and aggregates the data into meaningful statistics, then stores the end result in a G-sheet, which feeds a Data Studio dashboard

Customer segmentation is the process of dividing customers into groups based on common characteristics so companies can market to each group effectively and appropriately. This Project uses R language and Kmeans clustering algorithm to segment customers into clusters.

Collection of Programs made during the MSBA program

This repository contains coursework for the Data Mining course in the MS Applied Business Analytics program at Boston University.

Repository of work carried out during the MSc Data Science and Business Analytics programme at Plymouth University (2020-21)

A collection of contents and resources for business analytics

Tutorial exercises for NUS module BT5152 (AY2018/19 semester 1)

Machine learning models build on real time data