A simple project using the 2 most popular association mining algorithms
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Updated
Mar 7, 2024 - Jupyter Notebook
A simple project using the 2 most popular association mining algorithms
Machine Learning Project for predicting if a flight will be delayed or not and estimating in minutes how much time there will be a delay in its departure or arrival using different machine learning classifiers and regressors.
Excel analysis of 9,999 US domestic flights (2015) — covers departure/arrival delays by airline (AA, AS, DL, NK, WN etc.), cancellation rates, weather vs. air-system vs. airline delay breakdown, average air time per carrier, and departure hour patterns. Built with pivot tables and an interactive dashboard.
ML project -tourist path prediction (Random Forests)
This repository is based on projects on network analysis using optimized graph algorithms over Airlines and Airport data for delay prediction.Different visualization attempts are also present in the form of ipnyb files along with ML model for delay prediction.
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