Analytics & Machine Learning R Sidekick
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Updated
Nov 5, 2025 - R
Analytics & Machine Learning R Sidekick
Example R scripts and synthetic datasets showing how to use confusion matrices to evaluate marketing email models with both balanced and unbalanced data.
Rmd file presentation on "Behaviors of DivvyTrips customers, and marketing strategy. (R programing) (data sourced from Coursera)
This case study is part of the Google Data Analytics Professional Certificate. It focuses on Bellabeat, a wellness brand for women, and provides analysis on smart device usage to inform and refine their marketing strategy. RStudio, a programming tool built for R, was employed to clean, analyse and visualise the data.
Aplicação de técnica RFM e K-Means com linguagem R
Analyze and manage Facebook ads from R using this client library to access their Marketing APIs
This repository contains a full data analysis project for Cyclistic, a fictional bike-share company based in Chicago. As part of the marketing analytics team, the project focuses on understanding how annual members and casual riders differ in their usage behavior.
This project focuses on exploring product recommendations within the realm of luxury fashion resale. It serves as a companion to my thesis of the MSc Marketing Analytics program at TiU.
This is some work I am doing using the hill function to fit saturation curves, primarily used for marketing.
Experiment with hyperparameters in tree training 🌲
Customer churn analysis on the Telco dataset in R
Fiverr Project
Telemarketing (yes/no) - loan acquisition bank campaign with XGBoost
Auto market segments identification with K-means
Analysis that identifies diabetic patients and marketing for pharmaceutical company.
Research R-1400-02 in Ostadkar Research Lab. in the field of Fulfillment Process Optimization.
This projects explores the bank marketing dataset using automatic EDA packages in R.
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