amazon-dataset
There are 2 repositories under amazon-dataset topic.
TsingZ0 / TLSAN
This is our implementation for our paper: TLSAN: Time-aware Long- and Short-term Attention Network for Next-item Recommendation
Language:Python 32luminati-io / Amazon-popular-books-dataset
A dataset sample of the most reviewed and best-selling books on Amazon
Arjun-Mota / amazon-product-reviews-sentiment-analysis
Sentiment analysis on product reviews with identification of most reviewed products from Amazon product reviews dataset consists of 35000 reviews.
Language:Jupyter Notebook 7wendyminai / Amazon-Shipping-Analytics---Tableau-Data-Visualization
Data Visualization and Data Analytics with Tableau by solving real data analytics problems
iremislek / amazon-recommendation-dataset-analyzer
A notebook to analyze Amazon Recommendation Review Dataset.
Language:Jupyter Notebook 3roshancyriacmathew / EDA-using-python-on-the-amazon-Alexa-dataset
This code explains how to perform (Exploratory Data Analysis) EDA using python on the amazon Alexa dataset.
Language:Jupyter Notebook 3m-haghighi / Amazon-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 state-of-the-art sentiment analysis tool such as Social Mention and Sentiment Analyzer over the reviews and see whether the result is consistent with the numeric score system for the reviews (e.g., positive sentiment for reviews with five stars vs. negative sentiment for reviews with one star)
Language:Jupyter Notebook 2ganpat-patel-012 / Ecommerce-Purchases-Exercise-Great-Learning-Internship
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.
Language:HTML 1UtkarshPrajapati / Amazon-Sentiment-Analysis
EDA on Amazon Data of a few million customers & then building a CNN Deep Learning Model.
Language:Jupyter Notebook 1WideSu / serenRec
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.
Language:Jupyter Notebook 1mascarenhasneil / BlackFriday_Sale_Analysis
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.
Language:R 0n60512 / HANN-Plus
This is our implementation of Explainable Recommendation System for Solving Review Loss
Language:Python 0patrick03524 / K-Means
Curso de Estructuras de Datos Avanzadas - UCSP 2020-2
Language:C++tknishh / EL_on_Amazon
Extracting and loading data from amazon website to create a product details table
Language:Jupyter Notebook