Python代写-EE104

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EE104 Module 6 Project Ideas
Version 04/06/2021
(This is a working file, i.e. more projects will be added frequently. Check out often for the latest version)
If you don’t have a project idea yet, maybe one of the ideas below will spark your interest.
EE104 Module 6 Project Ideas ...................................................................................................................... 1
1 - Trend Prediction ...................................................................................................................................... 1
2 - Data Science ............................................................................................................................................ 1
3 - Data Science – Data Relationship ........................................................................................................... 1
4 - Data Science Statistics ............................................................................................................................. 1

Do Problem #1 (60%) and any one of the problem #2 or #3 or #4 (40%). No extra credit.
1 - Trend Prediction
Search for COVID-19 data in CSV file format or any format that can be converted to CSV.
Select 3-month worth of data (i.e. March to May). Plot a selected data criterion for that 3 months and
predict the trend for the next 3 months into the future (i.e. June to August). Compare your prediction
with reality. Stating whether your prediction is correct or not. Research and present the reasons for your
data match/mismatch.
Submit source(s), code, and output screenshots to Canvas.
2 - Data Science
Write a Python program to analyze the risk factors that cause the loan defaults and provide a report to
the bank for 3 groups: low risk, medium risk, and high risk.
3 - Data Science – Data Relationship
Using data that you can find from the website below, write a Python program to find the relationships
among 3 different data criteria (that you will select) using Pearson Correlation Coefficient and Chi-
Square Test of Independence. Show plot(s) to prove your findings.
https://guides.lib.berkeley.edu/publichealth/healthstatistics/rawdata
4 - Data Science Statistics
Using the Salaries.csv file from the link below for the San Francisco area, clean the data as needed, and
calculate the values of +/- 1 sigma, +/-2 sigma, and +/-3 sigma. Plot the data to prove your findings.
https://www.kaggle.com/kaggle/sf-salaries?select=Salaries.csv