Hello folks! Are you happy or are you not sure? Alright, let's build a model that will help you find out if you're happy or not. Well, let's start with some basic understanding of this tutorial and later dive deeper into the neural networks. We're very well known what popular Computer Vision is. It is one of the most popular field of machine learning. Happiness Detection is also one of such field where we apply Computer Vision techniques. This is a binary classification type of problem where we'll building a model that will detect whether the input image is either smiling or not. The dataset is already labeled as smiling or not smiling. We'll be using 600 images for training and 150 images as test dataset. Before we get our hands into the core part, let's first import some libraries. Now let's know more about the data. After the execution, you'll be able to look at the number of data we've taken for training and testing the prepared model. N