Problem Perform an analysis of the given data and find out how different features are related to Clicked. Also, on the given data, build a machine learning model that can be used to predict the Clicked variable. For each record in the test set (test.csv), predict the value of the Clicked variable (0/1). Submit a CSV file with test entries, plus a header row. The file (submissions.csv) should have exactly 2 columns: • id • Clicked (contains 0 or 1) Deliverables • Well commented Jupyter notebook • submissions.csv Experiment with the data, make visualizations and generate new features if required. Make appropriate plots, annotate the notebook with markdowns, and explain necessary inferences. A person should be able to read the notebook and understand the steps taken and the reasoning behind them. The solution will be graded on the basis of the usage of effective visualizations to convey the analysis and the modeling process.