There are 0 repository under customer-satisfaction topic.
Determining the important factors that influences the customer or passenger satisfaction of an airlines using CRISP-DM methodology in Python and RapidMiner.
:rocket: blah is audio analyzer api to allow call centers to extract information about their customers easily. it can be easily extended to more phone providers and more analyzers can be implemented if needed.
Know exactly what to press or say to get a human operator
Self case study 1
Internship project that dealt with Customer Satisfaction/Dissatisfaction Analysis for a major Technology giant. Converted Voice transcipts to text, performed Text and Sentiment analysis to produce results.
Factors that lead to customer satisfaction for an Airline. Model built using Python and trained using Amazon SageMaker.
Analyzing and Monitoring Net Promoter Score (NPS) Performance for Healthcare Companies using SQL and Power BI
Sentiment analysis and forecasting on fast food restaurants using R and Shiny
Digital Marketing (web analytics and clickstream tracking) projects, and UX (research) projects.
Use Twitter text analysis to measure client satisfaction
Predicting customer satisfaction for purchases made in Brazilian e-commerce.
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 Scientist Methodology.
Predict whether a future customer would be satisfied. Part of Samsung Innovation Campus Program.
This project to determine customer satisfaction towards an airline using SQL Server
This project to determine customer satisfaction towards hotel in Europe continent.
Predict how the customers qualify their experience on the flight with 2 ways of approach: clustering and classification
Call Centre Trends Visualising customer and agent behaviour.
Asiakkaan rooli ketterän lähestymistavan mukaisessa kehittämistyössä. Jyväskylän yliopisto 2010.
This repository contains a PowerBI dashboard to analyze an airline satisfaction survey.
Identifying Key Drivers of Customer Satisfaction using Logistics Regression
A customer satisfaction collection and visualisation PoC
A Rust crate for calculating Net Promoter Score (NPS) from survey responses.
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.
Predicting Customer Satisfaction with Hybrid Basic Filter-Based Feature Selection