Skip to content

Harguna/Deep-Restaurant-Recommender

Repository files navigation

This repository contains the following files -

  1. Report.pdf - Contains our final project report, which explains our objectives, sampling strategy, metrics and models used, results, limitations and conclusion. The report does not contain our EDA and model exploration, which is covered inside our notebooks.
  2. 01_data_wrangling_eda.ipynb - Contains the code for sampling and EDA of our project.
  3. 02_wide_and_deep.ipynb - Contains the code for our Wide and Deep model implementation.
  4. 03_FFM.ipynb - Contains the code for our Field Aware FFM implementation.
  5. requirements.txt - a list of python modules, packages and libraries used in the project

About

No description, website, or topics provided.

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

No releases published

Packages

 
 
 

Contributors