Analytics at NYU by JC Bonilla

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

Course Material: Business Analytics and Decision Support with R

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

Market Structure, Concentration, and Inequality Measures

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…

Supplemental material like code, exercises, datasets, notes etc. for my book "The Modern Business Data Analyst: A Case Study Introduction into Business Analytics with CRISP-DM and R"

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

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

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.

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

Este proyecto estudia las ventas de cigarrillos en provincias españolas de 2005 a 2021, usando series temporales y aprendizaje no supervisado para identificar tendencias, evaluar uniformidad en ventas entre provincias y hacer predicciones futuras.

Identified IntelliAuto company employees issue by using R to generate (1) Descriptive Analytics, (2) Visualization and Predictive Analytics, and (3) Prescriptive Analytics

Social analitics: Como mensurar a consequência de campanhas nas redes sociais? Marketing digital, ou internet marketing, é o poder de mensuração de campanhas e observação de ROI (retorno sobre o investimento), além de saber a origem e a quantidade da audiência proveniente da internet, propriedade e experiência de navegação em websites, sites ins…

Credit Card Fraud Detection

Collection of Programs made during the MSBA program

A collection of contents and resources for business analytics

Developed a Machine Learning model to predict house prices in Paris using regression algorithms such as Linear Regression, Random Forest Regressor, and XGBoost. Achieved high model accuracy and provided insights into key features impacting real estate prices.