close all; clear; clc %% Loading the Data and storing them in a Table [~,~, rawtrain] = klsread('train.csv'); [~,~, rawtest] = xlsread('test.csv'); train = cell2table (rawtrain (2:end, :), 'VariableNames', rawtrain (1, :)); test = cell2table (rawtest (2:end, :), 'VariableNames', rawtest(1, :)); %% Accessing Feature elements of the Table %Accessing the Age feature of the training dataset: age train.Age; parch train. Parch; %Accessing the Ticket feature of the test dataset: ticket test. Ticket; %% Sample data cleaning %Remove missing entries, denoted by NaN, in age with numeric 0 age_cleaned fillmissing (age, 'constant',0);