Problem Statement

The client needed to develop an application of Machine Learning methods to the domain of HIV/AIDS diagnostics and therapy planning.

Solution Approach

1. We addressed this project from 2 different perspectives
2. The first part of the project analysed the genetically-diverse HIV population present in infected blood samples.

Solution Output

1. The first part of the project analysed the genetically-diverse HIV population present in infected blood samples.
2. In the second part we did prediction by building a probabilistic model to find out if a person is HIV positive given their Region and their Test results and found out whether a person needs to be worried about his results or not.

Technologies Used