Analytics & Machine Learning R Sidekick
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Updated
Mar 15, 2026 - R
Marketing is the practice of connecting products and services with people who can benefit from them. This involves understanding audiences, crafting compelling messages, and choosing the right channels for distribution and engagement.
While the marketing technology landscape is dominated by expensive SaaS platforms, there’s growing interest in open source alternatives for email marketing, customer relationship management, analytics, attribution tracking, and marketing automation. Open source marketing tools offer transparency, customization, and cost-effectiveness that many businesses and developers seek.
With over 1,800 repositories tagged with marketing on GitHub, this community demonstrates the potential for collaborative development of marketing technologies that prioritize user control, data privacy, and accessibility over vendor lock-in.
Analytics & Machine Learning R Sidekick
Analyze and manage Facebook ads from R using this client library to access their Marketing APIs
Easy computation of Marketing Metrics in R
Research R-1400-02 in Ostadkar Research Lab. in the field of Fulfillment Process Optimization.
R code for estimation of latent class logit model with aggregate data
A data-driven communication strategy with Email Engagement Model, Cluster Analysis and Churn Prediction
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 projects explores the bank marketing dataset using automatic EDA packages in R.
This is some work I am doing using the hill function to fit saturation curves, primarily used for marketing.
This repo contains project(s) from the Marketing Analytics course.
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.
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.
Analysis that identifies diabetic patients and marketing for pharmaceutical company.