This repo contains Applied datascience capstone project offered by IBM through cousera.
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Updated
Feb 8, 2019 - Jupyter Notebook
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).
Restaurant Recommendation System using Collaborative Filtering Algorithms Like ALS,SVD and SGD
A Restaurant Recommedation System Based on Yelp Dataset
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.
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