"Feature engineering and improving the Machine Learning model accuracy;

Using the advertising data: advertising.csv;

The ML model predicts the last column "Clicked on Ad";

Splitting the data into training and testing data sets, then choosing and training a classification machine learning algorithm;

Getting the accuracy of the ML model;

Using feature engineering skills to create new features and improve my ML model;"