omid-gervei / Titanic

This project is about to forecast the aliveness status of Titanic passengers using machine learning algorithm

Titanic

Description

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1. 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, ...

2. Used methods

we used Grid search to find the best parameters of the most famous machine learninig algorithms:

• Decision Tree Classifier

• Random Forest

• XGBoost Classifier

Highlights

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.

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