This logistics regression model is trained by an advertising dataset which predicts whether a user will click on an ad or not based upon daily time spent on website, age, sex, area income, daily internet usage, time, city and country.
Python libraries used - pandas, numpy, matplotlib, seaborn, scikit-learn.