Datathon

Aim: we are required to build a machine learning model that would predict the political party to which a taxpayer belongs to. Performed EDA to understand how dependent feature is dependent on each independent feature. Used random forest, knn, svc and logistic model and compared their results. performed hyper parameter tuning and random searchcv to improve the results.