sneha-rangole/Flight-Price-Prediction-Using-Random-Forest
The Flight Price Prediction project utilizes Random Forest Regression to forecast flight prices based on historical data, empowering consumers and businesses to make informed decisions. With an impressive R² score of 0.812, the model effectively captures the complex relationships influencing airfare pricing.
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Oct 22, 2024
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