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

Place2Vec ground truth dataset

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

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

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

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

predicting yelp review rating using recurrent neural networks

Restaurant recommendations and review text-based quality predictions

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

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

Generate fake restaurant reviews with GPT-2 using Yelp Dataset

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

Working with the Yelp Dataset in Azure SQL and SQL Server

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.