Popular GitHub Repositories for Airlines

resources for the IBM Airlines Table-Question-Answering Benchmark

Sentiment Analysis on tweets from US airlines customers

Implemented Classification and Clustering models using Spark MLlib on Airlines Data.

Big data application of Machine Learning concepts for sentiment classification of US Airlines tweets. The focus is on the usage of pyspark libraries (ml-lib) on big data to solve a problem using Machine Learning algorithms and not about the choice of algorithm used in the ML model creation. It also involves data pre-processing using NLP techniques, cross-validation and parameter-grid builder.

This project aims to predict the number of passengers, freight quantity, and mail quantity for American airlines operating between Canadian and U.S. airports using an MLOps approach. It involves automating the data pipeline, from data extraction and preparation to model training and evaluation, leveraging tools like DVC, MLflow, and Docker for vers

Sentiment analysis of Twitter comments for airlines

AI agent for persian customer support in airlines by using Llama3, tavily, langchain

An AI chatbot system that provides intelligent insights into airline experiences based on user reviews. Leveraging Retrieval-Augmented Generation (RAG), this project uses Google's Gemini Flash AI models with efficient vector search capabilities to deliver accurate, context-aware responses to user queries about airlines.