Predicting Black Friday consumption patterns based on customer personal information
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Updated
Jul 11, 2024 - R
Predicting Black Friday consumption patterns based on customer personal information
📊 Generalized linear regression models with network-regularization in R.
Unraveling the Determinants: A Comprehensive Analysis of Factors Influencing Health Insurance Charges in the USA
regLins is an R package designed for performing linear regression analysis using various optimization methods. It also provides an interactive Shiny application for a more dynamic analysis experience.
This repository contains all my works, my internships that I have worked on along with other additional projects that I did using R and Python.
Lookbook is a R package with various R functions designed to explore patterns in your datasets.
📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.
This repository contains the R code done in the laboratories during the first course of statistical models.
Predicting Car Price based on Car Horsepower with Linear Regression Model using R programming
Practise assignments to learn Econometrics with R.
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
Finding Relationships in Data: UBC Term Project 2024W2 - Predictive Modelling
Time-series analysis of the air traffic on three European countries (Spain, Germany and Italy).
FAST Change Point Detection in R
Using K-means clustering, linear regression, and multivariate adaptive regression splines (MARS) models
Using linear regression with best subset selection and decision trees.
🧲 Multi-step adaptive estimation for reducing false positive selection in sparse regressions
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