A machine learning algorithm is being designed to automatically generate new images of faces that look realistic.
Design a function to find the mean of a list of numbers.
The given dataset contains information on house prices in a US city. The task is to use this data to predict the price of a house given its features.
To predict the price of a house, we can use linear regression to learn the relationship between house size and price. Then, to predict the price of a new house, we can simply plug in the size of the house into the trained model.
This problem involves clustering customer reviews in order to group together similar reviews and distinguish different groups of reviews. This can be done using unsupervised learning methods such as k-means clust ering.