This dataset is a collection of JPEG pictures of famous people collected over the internet, all details are available on the official website: http://vis-www.cs.umass.edu/lfw/ The purpose in this project is to recognize the face of person in the picture and label it with its full name, based on a training process composed by thousand of labeled pictures. For this project, all picture are black & white (sklearn.datasets.fetch_lfw_people – parameter color = False)

In this project, ml-latest-small dataset is used to cluster users. This is as useful tool for movie makers and companies as Netflix. Here, users rate movies using a 0-5 scores. The objective is to find clusters that group users based on the movies they like/dislike using KMeans technic. ml-latest-small dataset contains 100836 ratings and 3683 tag applications across 9742 movies. These data were created by 610 users between March 29, 1996 and September 24, 2018.