Predicting flight ticket prices using a random forest regression model based on scraped data from Kayak. A Kayak scraper is also provided.
Data Science & Machine Learning Internship at Flip Robo Technologies
Data Science Projects done at Data Trained Education during PG Data Science & ML Course
Analyze and Predict the Flight Price Using Machine Learning Models and Plotly Library
The main goal is to predict the fares of the flights based on different factors available in the provided dataset.
The primary goal is to develop a predictive model that leverages historical data, machine learning algorithms, and real-time market trends to empower users with insights for informed decision-making in air travel planning.
Predictive model to forecast flight prices.
A Machine Learning Web Application built with Flask to predict flight fares based on user-selected options like airline, city, departure time, number of stops, class, etc.
A flight price prediction website that works on the Random Forest model for predicting flight fares. The model is then hosted using Flask API.
A Flight Price Prediction System, which is a machine learning-based web application. Users can predict the cost of a flight based on their desired travel details. The project has been implemented using the Streamlit framework for hosting the application and providing a user interface for flight price predictions.
Hands-on EDA & Feature Engineering | Missing values, outliers, encoding, SMOTE
A Flight price prediction application which predicts fares of flight for a particular date based on various parameters like Source, Destination, Stops & Airline.
Built flight fare prediction and deploy using flask on Heroku platform
This project aims to provide users with a tool to predict flight fares based on various parameters, allowing them to make informed decisions when booking air travel. The app utilizes machine learning algorithms trained on historical flight data to estimate future fares.
A comprehensive project predicting flight prices and customer satisfaction using machine learning models, deployed through interactive Streamlit apps.
MyFlightPrice is a Flask web app which can predict your flight price based on the required information.
Flight ticket prices are highly unpredictable, often changing day to day, today we might see a price, check out the price of the same flight tomorrow, it will be a different story, making it challenging for travelers and airlines to forecast costs
Add a description, image, and links to the flight-price-prediction topic page so that developers can more easily learn about it.
To associate your repository with the flight-price-prediction topic, visit your repo's landing page and select "manage topics."