Predicting Terrorist Attacks and Analyzing Crime Incidents in Nigeria Using Machine Learning

This Omdena Local Chapter Challenge runs for 4 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world. 

You will work on solving a local problem, initiated by Enugu, Nigeria Chapter.

The problem

The problem this project is targeted to solve is to help the security agencies to mitigate the rate of crime committed in the country by giving the security agencies reasonable insight into the distribution of crime committed in Nigeria, and also enable them to anticipate possible crime and location of the crime, in order to be able to make adequate security checks and take the necessary security measures.

The goals

The major goals of this project are:

• Analyze the crimes committed in Nigeria.
• Build a predictive model to predict the type of crime to be committed in a given time and location.

Why join? The uniqueness of Omdena Local Chapter Challenges

Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.

A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.

And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.

Read more on how Omdena´s Local Chapters work