melvard / ML_WHO_Suicide_statistics_project

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.

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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.

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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.


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