https://github.com/bhaveshbhakta/flight-price-prediction-using-ml

Flight Price Prediction
https://github.com/bhaveshbhakta/flight-price-prediction-using-ml

data-analysis data-visualization flight-price-prediction machne-learning random-forest

Last synced: 15 days ago
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Flight Price Prediction

• Host: GitHub
• URL: https://github.com/bhaveshbhakta/flight-price-prediction-using-ml
• Owner: BhaveshBhakta
• Created: 2024-12-17T17:23:34.000Z (about 1 month ago)
• Default Branch: main
• Last Pushed: 2025-01-13T16:01:37.000Z (17 days ago)
• Last Synced: 2025-01-13T17:20:13.776Z (16 days ago)
• Topics: data-analysis, data-visualization, flight-price-prediction, machne-learning, random-forest
• Language: Jupyter Notebook
• Homepage:
• Size: 5.91 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Flight Price Prediction

## Project Overview

This project implements a machine learning model to predict flight prices using Random Forest Regressor. The system analyzes various factors including airline, departure time, stops, class, and duration to provide accurate price predictions for domestic flights. The model achieves high accuracy through careful feature engineering and advanced preprocessing techniques.

## Technical Highlights

- Implemented using Python with scikit-learn, pandas, and numpy

- Feature engineering incorporating both numerical and categorical variables

- Comprehensive data preprocessing 

- Model evaluation using R2 score and mean squared error

- Comparison with algorithms including Randomforest, XGBoost, AdaBoost, and Gradient Boosting

## Purpose and Applications

- Assists travelers in planning their trips by providing price estimates

- Helps travel agencies optimize their pricing strategies

- Enables airlines to analyze pricing patterns and market trends

- Supports revenue management systems with data-driven insights

- Provides a foundation for building automated pricing recommendation systems

## Installation

```bash

# Clone the repository

git clone https://github.com/BhaveshBhakta/Flight-Price-Prediction-Using-ML.git

cd Flight-Price-Prediction-Using-ML

# Create and activate virtual environment

python -m venv venv

 venv\Scripts\activate

# Install required packages

pip install -r requirements.txt

# Required packages:

# - pandas

# - numpy

# - scikit-learn

# - seaborn

# - matplotlib

# - plotly

# - xgboost

# - pandas-profiling

```

## Collaboration

Feel free to fork this repository, contribute, or open issues for suggestions and improvements!