(5/5)

# Data description analysis using statistical numbers and graphs

INSTRUCTIONS TO CANDIDATES

Obtain a dataset (Titanic or other) fromhttps://www.kaggle.com/datasets Define the business question Determine the type of model based on the question (descriptive, predictive) Describe the question and your data - in text Do the data description analysis using statistical numbers and graphs (using table and graphs) Do the data analysis to answer the business question (describe the model, run the model, and show the results) Do the model evaluation (evaluate the model to see whether it is good) Discuss potential problems and improvements Each student will need to submit a report – minimum 5 pages (exclude title page, table of contents and reference page), 1.5 line spacing, regular margin, font size 12pt.

1. Obtain a dataset (Titanic or other) fromhttps://www.kaggle.com/datasets
3. Determine the type of model based on the question (descriptive, predictive)
4. Describe the question and your data - in text
5. Do the data description analysis using statistical numbers and graphs (using table and graphs)
6. Do the data analysis to answer the business question (describe the model, run the model, and show the results)
7. Do the model evaluation (evaluate the model to see whether it is good)
8. Discuss potential problems and improvements

Each student will need to submit a report – minimum 5 pages (exclude title page, table of contents and reference page), 1.5 line spacing, regular margin, font size 12pt.

(5/5)

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