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## Introduction
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In this project, I will analyze airline passenger satisfaction and flight delays. The goal is to build a full machine learning pipeline, starting from data cleaning and Exploratory Data Analysis (EDA), through Feature Engineering and Clustering, to training and evaluating models. I want to understand what causes flight delays and how we can predict them to improve the travel experience
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### Project Overview
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I am using the "airline-satisfaction-analysis" dataset from Hugging Face. This dataset contains survey results from passengers, including their personal details, flight information, and how they rated different services.
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# Multi-Dimensional Analysis of Airline Passenger Satisfaction and Flight Delay Prediction
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#### Introduction
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In this project, I will analyze airline passenger satisfaction and flight delays. The goal is to build a full machine learning pipeline, starting from data cleaning and Exploratory Data Analysis (EDA), through Feature Engineering and Clustering, to training and evaluating models. I want to understand what causes flight delays and how we can predict them to improve the travel experience
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#### Project Overview
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I am using the "airline-satisfaction-analysis" dataset from Hugging Face. This dataset contains survey results from passengers, including their personal details, flight information, and how they rated different services.
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