A set of projects I worked on as part of my PG Diploma in Data Science Program
In this project, I have examined customer behavior patterns to identify key factors driving annual spending. Statistical modeling revealed that customer retention (measured by length of membership) is the most significant predictor of revenue, with substantially greater impact than website engagement metrics. The project is based on R.
Analyse OverFitting of data
Claim Risk Identification
Final project for the MIDS-W205 "Statistics for Data Science" course (Summer 2021)
Used various Machine Learning Algorithms to performed a predictive task of classification to predict whether an individual makes over 50K a year or less on the 'US Census Income' dataset.
A set of Machine Learning regression projects using R.
This repository has scripts that are part of the programming assignments of the course Linear and Generalized Linear Models taught at FME, UPC Barcelonatech.
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