flight-price-prediction
There are 25 repositories under flight-price-prediction topic.
MeshalAlamr/flight-price-prediction
Predicting flight ticket prices using a random forest regression model based on scraped data from Kayak. A Kayak scraper is also provided.
Lab-of-Infinity/Internship
Data Science & Machine Learning Internship at Flip Robo Technologies
Lab-of-Infinity/Datatrained-Projects
Data Science Projects done at Data Trained Education during PG Data Science & ML Course
Pegah-Ardehkhani/Flight-Price-EDA-and-Prediction
Analyze and Predict the Flight Price Using Machine Learning Models and Plotly Library
dipeshgyanchandani/myflightprice
MyFlightPrice is a Flask web app which can predict your flight price based on the required information.
himanshu-03/Flight-Price-Prediction-Streamlit
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.
iamdebasishdas123/SageMaker_Flight_Prediction
Predictive model to forecast flight prices.
KalyanM45/Flight-Fare-Prediction
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.
Kamal2511/Flight-Fare-Prediction
Built flight fare prediction and deploy using flask on Heroku platform
lakshayalmadi/flight-price-predictor
A flight price prediction website that works on the Random Forest model for predicting flight fares. The model is then hosted using Flask API.
Pratik-Aher/Flight-Fare-Prediction
The main goal is to predict the fares of the flights based on different factors available in the provided dataset.
sairasmi/flight-price-prediction
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.
sukhmani1303/flight-price-prediction
A Streamlit ML app for flight price prediction. This one project involves concepts like EDA, Linear, Lasso & Ridge Regression, Kfold, Hyper Parameter Tuning & GridSearchCV. I am constantly building a rich repository of all the information I have on a particular topic as part of my machine learning practice. Very Helpful for ML beginners.
yashbhanu/Flight-Price-Prediction-Application
A Flight price prediction application which predicts fares of flight for a particular date based on various parameters like Source, Destination, Stops & Airline.
Akash1070/Flight-Price-Predicting---Heroku
Flight Price Prediction Model Deployment IN Heroku
himanshu-03/Flight-Price-Prediction-Flask
This repository contains the source code for a Flight Price Prediction System, It is a machine learning-based web application that enables users to predict the cost of a flight based on their desired travel details. The project has been integrated with both FastAPI and Flask frameworks.
MaharanaSaroj/India-Flight-Price-Prediction
Figuring out when to book the cheapest flights is never easy. From the best day to book flights, to other cheap flight travel hacks, MDS (Maharana Data Science) team has now introduced price prediction on this app to help you find the ultimate cheap flights. This price prediction app has functions where you can search the cheapest day in a month
mdsaifff/Flight-Price-Predicition
Travelling through flights has become an integral part of today’s lifestyle as more and more people are opting for faster travelling options. The flight ticket prices increase or decrease every now and then depending on various factors like timing of the flights, destination, duration of flights, number of stops, etc. Therefore, having some basic idea of the flight fares before planning the trip will surely help many people save money and time. In the proposed system a predictive model will be created by applying machine learning algorithms to the collected historical data of flights. This system will give people the idea about the trends that prices follow and also provide a predicted price value which they can refer to before booking their flight tickets to save money. This kind of system or service can be provided to the customers by flight booking companies which will help the customers to book their tickets accordingly.
Adyy7902/Flight-Price-Prediction-using-ML
🧑🏻✈✈️Flight Price Prediction using ML
Akash1070/Deploying-Machine-Learning-Models-via-Microsoft-Azure
Deploying Flight Price Prediction via Microsoft Azure
Chandrakant817/Flight_Price-Prediction
Flight_Price Prediction using Machine Learning.(Regression Use Case)
sonu275981/Flight-Fare-Prediction
End to end implementation of Machine Learning Airline Flight Fare Prediction using python
sughoshdeshpande7/Flight_Price_Prediction
Repo for Flight Price Predictor Model and Web App