- General info
In this project we have a database containing general information about the passengers of titanic. The goal of the project is to forecast the aliveness status of the passengers using some infomation like: Age, Sex, ticket class, ...
- Used methods
we used Grid search to find the best parameters of the most famous machine learninig algorithms:
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Decision Tree Classifier
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Random Forest
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XGBoost Classifier
XGBC = XGBClassifier(colsample_bytree=1, gamma= 0, learning_rate= 0.1, max_depth=3,n_estimators=100,subsample=0.75,random_state = 1)
XGBC.fit(X_train,y_train)And a the end we took advantage of Gradio for building a web app.