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Flight fare perdicting model

License: GNU General Public License v3.0

Jupyter Notebook 100.00%
ai dataset eda hyper-parameter-tuning one-hot-encoding price-prediction-model python regression-models

flight-fare-prediction-regression's Introduction

Flight-Fare-Prediction

Using different regression models and EDA techniques to predict flight prices

Description

The dataset is an indian dataset taken from kaggle https://www.kaggle.com/datasets/sanjaromonov/aviachipta-narxini-bashorat-qilish?select=train_data.csv

Data is cleaned first and categories encoded using one-hot-encoding

Getting Started

Dependencies

  • anaconda
  • OR you can use google colab

Cloning

  • Clone the repo
git clone https://github.com/imranzaheer612/flight-fare-prediction-regression.git

accuracy plotted

License

This project is licensed under the [GNU] License - see the LICENSE.md file for details

Acknowledgments

This articles helped a lot.

flight-fare-prediction-regression's People

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