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

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

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:

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.

A restaurant recommendation platform for Flatiron students

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.

A simple project to provide recommendations for types of food & beverages that are suitable for users who want to start a culinary business in certain areas in Jakarta, Indonesia.

Android app to view and create food recipes.