/Airline-Fare-Prediction

Airline Fare Prediction using Regression

Primary LanguageJupyter NotebookMIT LicenseMIT

Airline Fare Prediction

Deploy on Railway

Softwares and Tools Requirements

  1. Jupyter Notebook
  2. VS Code IDE
  3. Github Account
  4. Git Cli
  5. Railway

Classification Algorithms used

  1. LinearRegression, Ridge, Lasso
  2. KNeighborsRegressor
  3. DecisionTreeRegressor
  4. RandomForestRegressor

Hyperparameter tunning

  • GridSearchCV