About this document
Swiggy Restaurant Recommendation Model by saakship.a22 is a document available to read on EtoBox.
The document outlines a project focused on developing a restaurant recommendation model for Bangalore, which includes web data extraction, data cleaning, and visualization using Python. It employs machine learning techniques such as linear regression and random forest classification to predict prices, cuisines, and locations. The project aims to assist prospective restaurateurs by providing insights and recommendations to enhance their decision-making process in the competitive restaurant market.
- Author
- saakship.a22
- Language
- EN