The Detailed Analysis of Indian Airlines.
In this project, I am using airline dataset on which I will apply different basic dataset operations.
Aerokey API provides access to detailed information about airports and airlines, including data based on airport code, name, city, state, and more. It also offers airline details by IATA code or name. Ideal for travel-related applications.
This repository contains the code and analysis for predicting flight cancellations for American Airlines Inc. using logistic regression, as well as exploratory data analysis (EDA) of the dataset.
Sentiment detection model using many-to-one LSTMs on airline text reviews and generate contextually relevant text by training on "Alice's Adventures in Wonderland".
This project, Flight-Delay-Prediction, is a machine learning model that predicts flight delays using historical data from 2017, with a focus on logistic regression, decision trees, and random forests.
The repository contains an analysis conducted in PySpark on the information from Data Expo 2009: Airline on-time data.
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