A notebook to analyze Amazon Recommendation Review Dataset.

Overview

Amazon Recommendation Review Dataset Analyzer

A notebook to analyze Amazon Recommendation Review Dataset.

Features

Calculates distinct user count, distinct item count and total review count as basic stats.

Removes users with less than 5 reviews, then caluclates basic stats for filtered dataset.

Calculates mean and median review count per user, then plots a boxplot for review count per user.

Calculates average review point per user, then plots a boxplot for it.

Calculates mean and median review count per item, then plots a boxplot for review count per item.

Calculates average review point per item, then plots a boxplot for it.

Calculates word count per review, then plots a boxplot for it.

Calculates total word count in all reviews of the item, then plots a boxplot for it.

Calculates total word count in all reviews of the user, then plots a boxplot for it.

References:

1.J. McAuley and J. Leskovec. Hidden factors and hidden topics: understanding rating dimensions with review text. RecSys, 2013.

2.http://jmcauley.ucsd.edu/data/amazon/

Owner
isleki
isleki
Analysiscsv.py for extracting analysis and exporting as CSV

wcc_analysis Lichess page documentation: https://lichess.org/page/world-championships Each WCC has a study, studies are fetched using: https://lichess

32 Apr 25, 2022
A stock analysis app with streamlit

StockAnalysisApp A stock analysis app with streamlit. You select the ticker of the stock and the app makes a series of analysis by using the price cha

Antonio Catalano 50 Nov 27, 2022
Data exploration done quick.

Pandas Tab Implementation of Stata's tabulate command in Pandas for extremely easy to type one-way and two-way tabulations. Support: Python 3.7 and 3.

W.D. 20 Aug 27, 2022
The lastest all in one bombing tool coded in python uses tbomb api

BaapG-Attack is a python3 based script which is officially made for linux based distro . It is inbuit mass bomber with sms, mail, calls and many more bombing

59 Dec 25, 2022
PySpark bindings for H3, a hierarchical hexagonal geospatial indexing system

h3-pyspark: Uber's H3 Hexagonal Hierarchical Geospatial Indexing System in PySpark PySpark bindings for the H3 core library. For available functions,

Kevin Schaich 12 Dec 24, 2022
Spectacular AI SDK fuses data from cameras and IMU sensors and outputs an accurate 6-degree-of-freedom pose of a device.

Spectacular AI SDK examples Spectacular AI SDK fuses data from cameras and IMU sensors (accelerometer and gyroscope) and outputs an accurate 6-degree-

Spectacular AI 94 Jan 04, 2023
Evaluation of a Monocular Eye Tracking Set-Up

Evaluation of a Monocular Eye Tracking Set-Up As part of my master thesis, I implemented a new state-of-the-art model that is based on the work of Che

Pascal 19 Dec 17, 2022
Cleaning and analysing aggregated UK political polling data.

Analysing aggregated UK polling data The tweet collection & storage pipeline used in email-service is used to also collect tweets from @britainelects.

Ajay Pethani 0 Dec 22, 2021
apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly.

Please consider citing the manuscript if you use apricot in your academic work! You can find more thorough documentation here. apricot implements subm

Jacob Schreiber 457 Dec 20, 2022
Py-price-monitoring - A Python price monitor

A Python price monitor This project was focused on Brazil, so the monitoring is

Samuel 1 Jan 04, 2022
Pandas-based utility to calculate weighted means, medians, distributions, standard deviations, and more.

weightedcalcs weightedcalcs is a pandas-based Python library for calculating weighted means, medians, standard deviations, and more. Features Plays we

Jeremy Singer-Vine 98 Dec 31, 2022
Zipline, a Pythonic Algorithmic Trading Library

Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting. Zipline is currently used in production as the backte

Quantopian, Inc. 15.7k Jan 07, 2023
Numerical Analysis toolkit centred around PDEs, for demonstration and understanding purposes not production

Numerics Numerical Analysis toolkit centred around PDEs, for demonstration and understanding purposes not production Use procedure: Initialise a new i

George Whittle 1 Nov 13, 2021
Tablexplore is an application for data analysis and plotting built in Python using the PySide2/Qt toolkit.

Tablexplore is an application for data analysis and plotting built in Python using the PySide2/Qt toolkit.

Damien Farrell 81 Dec 26, 2022
A DSL for data-driven computational pipelines

"Dataflow variables are spectacularly expressive in concurrent programming" Henri E. Bal , Jennifer G. Steiner , Andrew S. Tanenbaum Quick overview Ne

1.9k Jan 03, 2023
Mining the Stack Overflow Developer Survey

Mining the Stack Overflow Developer Survey A prototype data mining application to compare the accuracy of decision tree and random forest regression m

1 Nov 16, 2021
Pipetools enables function composition similar to using Unix pipes.

Pipetools Complete documentation pipetools enables function composition similar to using Unix pipes. It allows forward-composition and piping of arbit

186 Dec 29, 2022
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods

Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Introduction Graph Neural Networks (GNNs) have demonstrated

37 Dec 15, 2022
Jupyter notebooks for the book "The Elements of Statistical Learning".

This repository contains Jupyter notebooks implementing the algorithms found in the book and summary of the textbook.

Madiyar 369 Dec 30, 2022
Mortgage-loan-prediction - Show how to perform advanced Analytics and Machine Learning in Python using a full complement of PyData utilities

Mortgage-loan-prediction - Show how to perform advanced Analytics and Machine Learning in Python using a full complement of PyData utilities. This is aimed at those looking to get into the field of D

Joachim 1 Dec 26, 2021