This is our implementation for our paper: TLSAN: Time-aware Long- and Short-term Attention Network for Next-item Recommendation

A dataset sample of the most reviewed and best-selling books on Amazon

Sentiment analysis on product reviews with identification of most reviewed products from Amazon product reviews dataset consists of 35000 reviews.

This code explains how to perform (Exploratory Data Analysis) EDA using python on the amazon Alexa dataset.

A notebook to analyze Amazon Recommendation Review Dataset.

This project has analyzed the Amazon Review dataset to find any motivating insight concerning heterogeneous recommendations and answer the following questions: • Which users reviewed products from several domains? • What are the pairs of domains connected via bridge users? • What is the relation between domains? • What is the accuracy of using a…

Data Visualization and Data Analytics with Tableau by solving real data analytics problems

In this exercise, I was given some data about some purchases done through Amazon! I had to follow the directions and answer the questions and complete the tasks.

A session-based recommendation system to recommend baby products on Amazon using 4 models namely ITEMKNN, POP, GRU4Rec, and STAMP, STAMP performs the best in all accuracy metrics followed by GRU4Rec. We also did result analysis, including ranking accuracy, coverage, popularity.

EDA on Amazon Data of a few million customers & then building a CNN Deep Learning Model.

This Capstone Project summarizes our preliminary (Exploratory Data Analysis EDA) analysis on the dataset, the Black Friday Dataset from Amazon. It shared some insightful results from the EDA and descriptive statistics. Further, this paper identifies a set of analyses used to answer the business questions on the dataset and justifies those findings.

Extracting and loading data from amazon website to create a product details table

Curso de Estructuras de Datos Avanzadas - UCSP 2020-2

This is our implementation of Explainable Recommendation System for Solving Review Loss

An NLP project examining Amazon Digital Music reviews.