This repo contains Applied datascience capstone project offered by IBM through cousera.

Building a Recommendation System for customer using Yelp dataset of restaurants.

Let's eat all over the world! https://docs.google.com/spreadsheets/d/1sP0aUnPW6W9ODIuUUSl6ISnkpQAI0ekxvF1C6yFxotE/edit?usp=sharing

Machine Learning, SVD algorithm, Python

Online restaurant recommender tool

Academic project for Advance Database Management Systems (Big-Data) course

Ripe Apples - A Restaurant Review Aggregator

Restaurant Recommendation System Using Relational Database

Gene's Restaurant List - Stuttgart

Deciding where to eat shouldn't be hard. You know tons of places, your check-in history proves it. Whats for Dinner answers that question, bubbling up delicious places you've forgotten about. Example:

3rd Year: 1st - 92. A Novel Context Aware Restaurant Recommender System Using Content-Boosted Collaborative Filtering (CACBCF).

A Restaurant Recommedation System Based on Yelp Dataset

Restaurant Recommendation System using Collaborative Filtering Algorithms Like ALS,SVD and SGD

This Notebook Recommends Restaurants based on popularity

Recipe recommendation system for UM FCSIT WID3002 NLP group assignment.

Designed and implemented a Location-Based Restaurant Recommendation System using machine learning techniques in Python. Leveraged advanced algorithms to provide personalized restaurant suggestions, enhancing user experience based on location preferences.

Android app to view and create food recipes.

An online local restaurant finder using PHP as backend taking a user's cuisine and location preferences into account.

A project to analyze restaurants in NYC to provide diners with a comprehensive guide on where to dine