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

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

GitHub Project Repo: https://github.com/skillcate/flight-p...
Google Drive Project Folder: https://drive.google.com/drive/folder...
Skillcate Discord Server:   / discord  

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
b. Feature Engineering on Object Variables (using: pandas to.datetime function)
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
f. GitHub Project Repo Walkthrough (including web app.py)
g. Flask Deployment of Project App


🔥 Important Links:

Dataset Source: https://www.kaggle.com/datasets/nikhi...

Sentiment Analysis Project based Review Classification Project from Skillcate:    • Sentiment Analysis Project using Mach...  

Sentiment Analysis Project (End-to-end) with ML Model Building + Deployment (using Flask):
- Model Building:    • Sentiment Analysis Machine Learning P...   (Part-1)
- Model Deployment:    • PIP + Virtual Environment | Flask Dep...   (Part-2)


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