A Deep Graph-based Toolbox for Fraud Detection

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0

Yelp round-10 review comments classification using deep learning (LSTM and CNN) and natural language processing.

Project - Data Processing and Analysis in Python Course

Uses NLP to analyze nearly 3 million restaurant reviews from the Yelp dataset

Place2Vec ground truth dataset

🍕Recommend new restaurants to Yelp users, using ratings predicted from reviews.

predicting yelp review rating using recurrent neural networks

Re-Implementation of "A Structured Self-Attentive Sentence Embedding" by Lin et al., 2017

Restaurant recommendations and review text-based quality predictions

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

Play around with Yelp dataset in Python (in progress and very messy repo)

Working with the Yelp Dataset in Azure SQL and SQL Server

Parse nested JSON file and convert to CSV; Convert YELP dataset to CSV

Generate fake restaurant reviews with GPT-2 using Yelp Dataset

A PyTorch implementation of the DRR framework (deep reinforcement learning, DDPG, PER, PMF) as it applies to restaurant recommendation.

Analyzing yelp reviews using topic modelling and aspect mining

3NF-normalize Yelp data on S3 with Spark and load it into Redshift - automate the whole thing with Apache Airflow

Application that predicts the number of stars that of a Yelp Review in realtime as a reviewer types it. Runs as a microservice-based application using Node.js, Python, and Docker. Displays results from Google Natural Language API and a custom trained classification models.