Flight Fare Prediction Machine Learning Project with Deployment | Time Series | Project#10

Показать описание

🔥 Flight fare prediction is a classical problem of time series forecasting that find trends in past observations to outline the future.

Many popular flight booking websites today, including Google Flights, showcase important insights on: current fair status: high, low or fair; past / upcoming fare trends; and essentially, helps decide the right time to book a flight ticket.

In this project, we are going to build a Python Flight Fare Prediction App, that returns the fare prediction for a given set of travel details, like: departure date, arrival date, departure city, arrival city, stoppages, and the airline carrier.

🔥 Sections:

00:00 Introduction
01:49 Our Plan of Action
05:18 EDA (Feature Engineering)
14:20 Feature Selection
17:41 Model Training
19:30 Predictions on Fresh Data
22:24 Flask Deployment
31:17 Let's talk Machine Learning

🔥 During the course of next ~30mins, we shall discuss:
a. Business use-case for Flight Predictions
c. Feature Engineering on Categorical Variables (using: OneHotEncoding & LabelEncoding)
d. Feature Selection using Sklearn Feature Importance & Variable Inflation Factor (VIF) - for Multicollinearity check
e. Training Fare Prediction - Random Forest Regressor Model
g. Flask Deployment of Project App

🔥 Important Links:

Sentiment Analysis Project (End-to-end) with ML Model Building + Deployment (using Flask):

🔥 Do like, share & subscribe to our channel. Keep in touch:

Рекомендации по теме

Комментарии

Thanks for your detailed explanations. But it was nice if an airline chosen in departure or source is eliminated from destination drop down list. Of course it is front end work. In case there is a shorter way, pls share it.

shumettefera

pip install -r .\requirements.txt error

lazeez_corner

This helped me a lot! Thank you so much

sreevidyabhimagunta

Hi! Thank you very much for your video. What if we have daily data on multiple flights, airlines, departure dates and routes? Would one hot encoding still be advisable if we have thousands of different airlines and cities?

Thank you very much

andreahenechesierra

bro i am working same project i want 98.3 accuracy but i used all models but 97 accuracy is coming what will i do to get 98.3 accuracy

NAVEENKODE-ip

Sir I have a problem in the last step activating the ENV the statement I receive is THE COMMAND NOT FOUND" can you help with that

varshithr

ModuleNotFoundError : No module named ' flask_cors' please reply

lazeez_corner

Same Error in all your deployed projects, kindly help

`numpy.distutils` is deprecated since NumPy 1.23.0, as a result
of the deprecation of `distutils` itself. It will be removed for
Python >= 3.12. For older Python versions it will remain present.
It is recommended to use `setuptools < 60.0` for those Python versions.

rohitgupta

how the prediction is done using features or how much percentage of what feature you are deciding to give a prediction, is there any equation behind can you please tell?

aiswaryalakshmi

.\ENV\Scripts\activate does not activating can any one help me ??

charan_kamsala

Please can you characterize Vader as an unsupervised machine learning algorithm. or it is just a dictionary

ahurein

Brother, is this a Time series dataset ? Can we apply different models like ARIMA, SARIMA, LSTM, MLP. Can we apply these times series models on this dataset of flights ?

faique

Can I know the over all algorithms used

himadrihere

sir the problemn is there is no bangalore bcs of one hot encoding in the ui

debojitmandal

Flight Fare Prediction Machine Learning Project with Deployment | Time Series | Project#10

Flight Fare Prediction Machine Learning Project with Deployment | Time Series | Project#10

Flight Price Prediction in Python - Full Machine Learning Project

Flight Fare Prediction using Machine Learning | Data Science | Python | Flask | Web Deployment

Live- Implementation Of Flight Fare Prediction Web App Project With Deployment

Flight Fare Prediction using Machine Learning | Final Year Project Computer Science

Hands-on Data Science Project: Flight Fare Prediction 🌟 | EDA | Machine Learning Model | ML | AI

Summary Of Live- Implementation Of Flight Fare Prediction Web App Project With Deployment

Flight Fare Prediction | Machine Learning Project

Flight Fare Prediction Software Using Python

Flight Fare Prediction - Machine Learning Project | Random Forest Algorithm

Flight Fare Prediction | iNeuron Internship | Machine Learning Project

Machine Learning Project On Flight Fare Prediction || Machine Learning

Flight Fare Prediction Using ML

Flight Fare Prediction | Machine Learning | Data Science | Ineuron internship

Machine Learning Project | Flight Fare Prediction Web App | #Machinelearning. ✈️

Flight Price Prediction | Machine Learning Project | Kaggle

Flight fare prediction web app implementation with deployment - python for data science \ ML 🔥likhi...

optimizing flight booking decision through machine learning price prediction

ML USING AWS – BATCH 2 - DAY 20 – Flight Fare Prediction Project – Deployment using Flask - Part 4...

Airline Fare Prediction

Flight Ticket Price Prediction Unveiled: Data Science Techniques | Part - 1

Airline Fare Prediction Using Machine Learning

FLIGHT FARE PREDICTION || End to End ML Project

Flight Fare Prediction & Booking App using Python and Machine Learning 😊