To improve this result further, you could:

Tune hyperparameters using cross validation,

Do more feature engineering, for example:

replace SibSp and Parch with their sum,try to identify parts of names that correlate well with the Survived attribute $($e$.$g$.$ if the name contains "Countess", then survival seems more likely$),$

try to convert numerical attributes to categorical attributes: for example, different age groups had very different survival rates $($see below$),$ so it may help to create an age bucket category and use it instead of the age. Similarly, it may be useful to have a special category for people traveling alone since only $30\%$ of them survived $($see below$).$