Skip to content

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 d…

Notifications You must be signed in to change notification settings

melvard/ML_WHO_Suicide_statistics_project

Repository files navigation

During the long-term programming classes organized in Ashtarak by the Gyumri IT center to study computer science, programming languages ​​(python, sql), mathematics and other additional subjects, our team of 5 people started a basic machine learning project for studying and analysing WHO suicide statistics collected since 1979. We used Python, and such well-known libraries as Numpy (for using mathematical functions and working with arrays), Pandas (for retriving data from files), matplotlib (for visualizing data using line graphs , pie charts, graphs) and Sklearn (a standard machine learning library). We also wrote an algorithm using a linear regression model to predict the incidence of suicide.

About

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 d…

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages