This project to determine customer satisfaction towards an airline using SQL Server
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Updated
Jan 27, 2023 - TSQL
This project to determine customer satisfaction towards an airline using SQL Server
Call Centre Trends Visualising customer and agent behaviour.
Simplezat
This repository contains a PowerBI dashboard to analyze an airline satisfaction survey.
Asiakkaan rooli ketterän lähestymistavan mukaisessa kehittämistyössä. Jyväskylän yliopisto 2010.
Predict whether a future customer would be satisfied. Part of Samsung Innovation Campus Program.
Predicting Customer Satisfaction with Hybrid Basic Filter-Based Feature Selection
Using the dataset from Kaggle (https://www.kaggle.com/mohaimenalrashid/invistico-airline), implementing data scientist methodology to find useful insights that can be used for business purposes, applying data cleansing, EDA, data visualization, and machine learning modeling. We use Python Language Programming to solve and implement the Data Scie…
This project to determine customer satisfaction towards hotel in Europe continent.
IT contains data analysis and visualizations aimed at improving a landscaping company's revenue and customer satisfaction. The project addresses two sub-goals: increasing revenue and improving customer satisfaction. Four visualizations are provided, each contributing insights toward achieving these objectives.
Predict how the customers qualify their experience on the flight with 2 ways of approach: clustering and classification
This repository houses a machine learning project. Its goal is to predict airline customer satisfaction based on factors like flight distance, in-flight amenities, service quality, and travel class. This aims to assist airlines in understanding the main factors affecting customer satisfaction, enabling them to make data-driven decisions.
A customer satisfaction collection and visualisation PoC
Identifying Key Drivers of Customer Satisfaction using Logistics Regression
A Rust crate for calculating Net Promoter Score (NPS) from survey responses.
Predicting how a customer will feel about a product before they even ordered it.
An open-source customer satisfaction dashboard
Sentiment analysis and forecasting on fast food restaurants using R and Shiny
Use Twitter text analysis to measure client satisfaction
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