Analysis of Desklib's Online Library for Study Material
Build a model to distinguish competitive auctions from non-competitive ones using data from eBay.com. Pre-process the data by creating dummy variables for categorical predictors and split the data into training and validation datasets. Explore the dataset by applying appropriate techniques.
Added on 2023-05-28
About This Document
This text provides an analysis of Desklib's online library for study material. It covers seller ratings, close price, and open price, as well as the frequency of categories, currency, and duration. The text also explores correlations and logistic regression analysis. The subject is not specified, nor is the course code or college/university mentioned.
Analysis of Desklib's Online Library for Study Material
Build a model to distinguish competitive auctions from non-competitive ones using data from eBay.com. Pre-process the data by creating dummy variables for categorical predictors and split the data into training and validation datasets. Explore the dataset by applying appropriate techniques.
Added on 2023-05-28
End of preview
Want to access all the pages? Upload your documents or become a member.