01

NAME

Katharina Aryani

ROLE

Software Engineering

EMAIL

katharina.aryani@gmail.com

PHONE

(+62) 811 274 2061

01

Machine Learning on Taxation Fraud

Once the data is in an uniform format, it needs to be transformed so that the machine we would like to train would be able to learn from the given data. Data visualization then made to have a general grasp on how to the data is distributed throught the set.

Data Cleaning

Cleaning up the dataset if a crucial step in implementing machine learning models.

SAS Model

I was using SAS Enterprise Miner to train different models, to find extreme values that fall a long way outside of the other observations.