HackerRank Predict Financial Loss
The Federal Reserve System is the central
banking system of the United States of America.
A bank failure occurs when a bank is unable to
meet its obligations to its depositors or other
creditors. They have kept a record of each failure
of a commercial bank, savings association, and
savings bank since their establishment.
When a bank fails, the government may provide
compensation to its customers. Their challenge
is to estimate the total losses an institution will
create in case of failure.
Based on the historical data, build a machine
learning algorithm that can predict the
estimated losses of a given institution. This will
help the Federal Reserve to assess the risk
involved and guide the financial institution to
manage the situation effectively.
Perform an analysis of the given data to
determine how different features are related to
the target variable i.e. estimated loss. Build a
machine learning model that can predict the
value of estimated loss of the financial
institution.
For each record in the test set (test.csv), predict
the valle of the ‘estimated loss’ variable.
Submit a CSV file with a header row plus each of
the test entries, each on its own line. The file
(submissions.csv) should have exactly 2
• estimated loss (in thousands of dollars)
S, Bonds and other Fi…
C) wisecourse1415/Ge.
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E test.csv
Ed train.csv
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Deliverables
• Well commented Jupyter notebook
• “submissions.csv”
Explore 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 as well as the
reasoning behind them. The solution will be
graded on the basis of the usage of effective