The Detailed Analysis of Indian Airlines.
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Updated
Feb 29, 2024 - Jupyter Notebook
The Detailed Analysis of Indian Airlines.
In this project, I am using airline dataset on which I will apply different basic dataset operations.
The repository contains an analysis conducted in PySpark on the information from Data Expo 2009: Airline on-time data.
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 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.
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.
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