Udacity MWS Nanodegree project 3
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Updated
Nov 25, 2018 - JavaScript
Udacity MWS Nanodegree project 3
An architectural kata on a restaurant review system
A repo to query Zomato API
Dependency parsing was used to extract relevant information from a review in order to predict the sentiment of a given aspect term. Different machine learning models such as Naïve Bayes, Logistic Regression, Support Vector Classifier and Neural Networks were used to make predictions. A maximum accuracy score of 0.74 on the test dataset was achie…
A Twitter application which crawls twitter to fetch and extract restaurants from tweets made about restaurants and rate each restaurant according to the tweet
Restaurant Review Analysis. "Thrilled to unveil my latest project on Streamlit - a cutting-edge restaurant review ML model 🍽️🔍 Using innovative AI technology, share your feedback and predict to model. Join me on LinkedIn to explore the future of culinary exploration! #AI #MachineLearning #Streamlit #RestaurantReviews" .
Restaurant Review Analysis. "Thrilled to unveil my latest project on Streamlit - a cutting-edge restaurant review ML model 🍽️🔍 Using innovative AI technology, share your feedback and predict to model. Join me on LinkedIn to explore the future of culinary exploration! #AI #MachineLearning #Streamlit #RestaurantReviews".
Mobile UI Testing Activities and Code Reviewing in NoCountry 2nd Project MVP Delivery - Open to updates in Automation Testing
Mobile Web Specialist Restaurant Reviews App: Stage 3
Docker supported restaurant crawlers.
Udacity Restaurant Reviews Project
Java Client for using Yelp Fusion API
NLP - NLTK - Restaurant review analysis
Starter Code for the Udacity's "Mobile Web Specialist Restaurant Reviews App: Stage 1" Project
My submission for Udacity's MWS Restaurant Reviews App Project Stage 3
Food Blog
🥇 Udacity front-end nanodegree restaurant reviews project
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