Using different regression models and EDA techniques to predict flight prices
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
- anaconda
- OR you can use google colab
- Clone the repo
git clone https://github.com/imranzaheer612/flight-fare-prediction-regression.git
This project is licensed under the [GNU] License - see the LICENSE.md file for details
This articles helped a lot.