A Deep Graph-based Toolbox for Fraud Detection
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Updated
Apr 20, 2022 - Python
A Deep Graph-based Toolbox for Fraud Detection
A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
Re-Implementation of "A Structured Self-Attentive Sentence Embedding" by Lin et al., 2017
Play around with Yelp dataset in Python (in progress and very messy repo)
Generate fake restaurant reviews with GPT-2 using Yelp Dataset
Python recommendation Engine. Django
Deep Structure Learning for Fraud Detection (ICDM 2018)
Classification of User Star Ratings using Review Text from the Yelp Dataset Challenge
A Python 3 script to normalize the Yelp challenge dataset to its core attributes, perform feature selection, generate a subset of the dataset, and output to CSV.
classifying the sentiment of reviews using AWD-LSTM
The goal of this project was to predict reviews' star ratings on Yelp using the review text. We built the following models that perform text analysis on review data to predict the rating stars.
Assignments for Course COL772 - Natural Language Processing at IIT Delhi
Implementation of Girvan-Newman Algorithm to detect communities in graphs using Yelp dataset
Cornell Data Science: Machine learning research project
Business and Topic Recommendation a new Business Owner can provide in their new Restaurant or for an existing restaurant.
Analyzing yelp dataset ==> https://www.yelp.com/dataset_challenge
Sentiment Analysis of Kaggle Yelp Reviews using FastText.
The project provides insights for business owners to improve their businesses and recommendations for users to improve their experience with the application
Analyzing yelp dataset ==> https://www.yelp.com/dataset_challenge
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