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It's my Kaggle test

Titanic-Data-Science-Solutions

I use Logistic Regression,SVC,Random Forest,GaussianNB,K-Means ,DecisionTreeClassifier to solve the problem

Hourse saleprice prediction

The dataset has 80 features !!!,clean data is very important whatever models you use ,i use xgboost,it is very powerful!

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I use Logistic Regression,SVC,Random Forest,GaussianNB,K-Means ,DecisionTreeClassifier to solve the problem

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