An analysis of the customer base of a fictional company called AD Mobile to answer the business question 'how loyal are the customers of AD Mobile?'
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Updated
Dec 12, 2023 - R
An analysis of the customer base of a fictional company called AD Mobile to answer the business question 'how loyal are the customers of AD Mobile?'
A constraint optimization problem involving the identification of the shortest path from the access to the exit door of the room avoiding randomly placed obstacles.
This a supervised machine learning project to predict customer satisfaction based on factors like Gender, Customer Type, Age, Type of travel, Class, Flight distance, Cleanliness, Departure and Arrival Delay, etc
This repo contains outcomes across all stages of the thematic analysis conducted on the reasons to be satisfied or dissatisfied when using the virtual coach.
Applying-NLP-to-identify-what-drives-customer-satisfaction-for-Amazon-website
Take feedback from customers in real-time with CSAT, CES, NPS Surveys, track their Customer Satisfaction in-the-moment with real-time responses and powerful reports, identify unhappy customers, take action, and prevent them from churning.
Solving minesweeper as a Constraint Satisfaction Problem
Public version (private info censored) of my python project for my paper "Differences in Chinese and Western tourists faced with Japanese hospitality: A natural language processing approach".
Burnout, engagement and job satisfaction data
Airline Marketing Study: prediction of customer satisfaction and customer clustering using sklearn libraries.
A repository for the Text Mining and Search course project.
This is Europe's Political data which consists of information about life expectancy, pollution, population, unemployment, work hours, weather, trust in police, trust in legal authorities, Income, GDP, leisure satisfaction, trust in politics, environment satisfaction, low savings and crime for all the countries in Europe. I am going to compare th…
AI project for 3D Path Planning. Other details and running instructions can be found on the Readme.md file
non-linear satisfaction problem generator
Satisfactory call to action buttons
GHOST (General meta-Heuristic Optimization Solving Tool) is a C# library designed to solve combinatorial satisfaction and optimization problems within some tenth of milliseconds.
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