Statistical and machine learning analysis of coffee bean prices using R. Includes EDA, ANOVA, and Lasso regression to understand how origin, roast, and ratings influence pricing.
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Updated
Jun 5, 2025 - R
Statistical and machine learning analysis of coffee bean prices using R. Includes EDA, ANOVA, and Lasso regression to understand how origin, roast, and ratings influence pricing.
Assignment Project - Exploring Rental Market Dynamics in Indian Cities using R Programming.
This repository contains insightful visualizations and analyses derived from Amazon's sales data of technology products in urban areas across the United States throughout the year 2019.
Using R, this project analyzes the freeCodeCamp 2018 survey open dataset to identify optimal markets for advertising programming courses, focusing on location densities and spending potential of new coders.
Info about Financial Markets' Structures
Customer Profile & Shopping Behavior Analysis is an R-based project analyzing customer data from retail stores, focusing on segmentation, seasonal trends, and market behaviors.
📖Analyse des Indices Boursiers d'Amazon et de Facebook 🤝Shared
This project performs customer segmentation using k-means clustering in R. It categorizes customers into different groups based on their age, income, and spending patterns, helping businesses target specific customer groups more effectively.
Scrapping World Bank data to standardize market selection for international business expansion
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