/RMSTitanic_Survival_Prediction

Using Sklearn implementation of Logistic Regression and Naive Bayes for Classification on the RMS Titanic Dataset. Utilizes feature normalization, label encoding, k-fold cross validation, and principal component analysis. Currency Accuracy: 79%

Primary LanguageJupyter Notebook

No issues in this repository yet.