data['Cabin_mapped'] = data['Cabin'].astype(str).str[0]
# this transforms the letters into numbers
cabin_dict = {k:i for i, k in enumerate(
    data['Cabin_mapped'].unique(),0)}

data.loc[:,'Cabin_mapped'] =  data.loc[:,'Cabin_mapped'].map(cabin_dict)

data[['Cabin_mapped', 'Cabin']].head()



X_train_less_cat, X_test_less_cat, y_train, y_test =
    train_test_split(data[use_cols].fillna(0), data.Survived,
                     test_size = 0.3, random_state=0)
rf = RandomForestClassifier(n_estimators=200, random_state=39)
rf.fit(X_train_less_cat, y_train)