ABOUT THE PROJECT

Implementing Logistic Regression Prediction model at 3 different types of Data Sets for evaluating the percentage of good predictions and estimating the amount of over-fitting if applicable. The programming language used was Java on Eclipse ADT. Scored 100/100 in the assignment completed under Kevin Shin and Elmer Le, Masters students and Summer instructors for CS109 at Stanford University Summer session 2015

MADE ON

Jun 2015 – Aug 2015