You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: visualizeFit.m
    path of file: ./repos/machine_learning_from_scratch_matlab_python/algorithms_in_matlab/week_9/ex8
    
    the code of the file until where you have to start completion: function visualizeFit(X, mu, sigma2)
%VISUALIZEFIT Visualize the dataset and its estimated distribution.

    
function visualizeFit(X, mu, sigma2)
%VISUALIZEFIT Visualize the dataset and its estimated distribution.
%   VISUALIZEFIT(X, p, mu, sigma2) This visualization shows you the 
%   probability density function of the Gaussian distribution. Each example
%   has a location (x1, x2) that depends on its feature values.
%

[X1,X2] = meshgrid(0:.5:35); 
Z = multivariateGaussian([X1(:) X2(:)],mu,sigma2);
Z = reshape(Z,size(X1));

plot(X(:, 1), X(:, 2),'bx');
hold on;
% Do not plot if there are infinities
if (sum(isinf(Z)) == 0)
    contour(X1, X2, Z, 10.^(-20:3:0)');
end