DESCRIPTION

Package: OSIAnalysis
Type: Project
Title: Online Shopper's Intention Analysis - E-Commerce Purchase Prediction
Version: 1.0.0
Author: Sourabh Rodagi
Description: Machine learning analysis of 12,330 e-commerce sessions to predict
    purchase intent using SVM classification (98.99% accuracy) and K-Means
    clustering. Identifies high-value customer segments with 30.5% conversion rates.
License: MIT
Depends:
    R (>= 4.0.0)
Imports:
    tidyverse (>= 1.3.0),
    ggplot2 (>= 3.3.0),
    dplyr (>= 1.0.0),
    stringr (>= 1.4.0),
    moments (>= 0.14),
    zoo (>= 1.8-0),
    caret (>= 6.0-0),
    e1071 (>= 1.7-0),
    rpart (>= 4.1-0),
    rpart.plot (>= 3.0.0),
    randomForest (>= 4.6-0),
    factoextra (>= 1.0.0),
    pROC (>= 1.17.0)
Suggests:
    knitr (>= 1.30),
    rmarkdown (>= 2.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true