"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;"