A basic machine learning project for studying and analysing WHO suicide statistics collected since 1979. We used python as the programming language, Spider as the IDE for coding, and such well-known libraries as Numpy (for using mathematical functions and working with arrays), Pandas (for analyzing data from files), matplotlib (for visualizing data using line graphs , pie charts, graphs) and Sklearn (a standard machine learning library for basic tasks). We also wrote an algorithm using a linear regression model to predict the incidence of suicide.