Data Mining and Statistical Modeling
Data Mining and Statistical Modeling
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Data_Mining_&_Statistical_Modeling_Week11_NEC_SOLVED
- Exam (elaborations) • 21 pages • 2023
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Ensemble predictive models 
 
Write a fully executed R-Markdown program and submit a pdf file solving and answering questions listed below under Problems at the end of chapter 13. For clarity, make sure to give an appropriate title to each section. 
Problem 2: eBay auctions 
(a, b, c, d) 
 
Problem 3: Predicting delayed flights 
(a, b)
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Data_Mining_&_Statistical_Modeling_Week4_NEC_SOLVED
- Exam (elaborations) • 39 pages • 2023
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Write a fully executed R-Markdown program and submit a pdf file solving and answering questions listed below under Problems at the end of chapter 6. For clarity, make sure to give an appropriate title to each section. 
 
Problem 1: Predicting Boston Housing Prices (b, c, d) 
 Problem 3: Predicting airfare on new routes (a, b, c) 
 Problem 4: Predicting prices of used cars (a, b)
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Data_Mining_&_Statistical_Modeling_Week14_NEC_SOLVED
- Exam (elaborations) • 17 pages • 2023
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Write a fully executed R-Markdown program and submit a pdf file solving and answering questions listed below under Problems at the end of chapter 4. For clarity, make sure to give an appropriate title to each section. 
Problem 3: Sales of Toyota Corolla cars 
(a, b, c, d, e) 
Problem 4: Chemical features of wine 
(a, b)
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Data_Mining_&_Statistical_Modeling_Week8_NEC_SOLVED
- Exam (elaborations) • 25 pages • 2023
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Write a fully executed R-Markdown program and submit a pdf file solving and answering questions listed below under Problems at the end of chapter 10. For clarity, make sure to give an appropriate title to each section. 
 Problem 1: Financial conditions of banks (b, c, e) 
 Problem 4: Competitive auctioning on ebay (a, b, c, d, e, f)
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Data_Mining_&_Statistical_Modeling_Week13_NEC_SOLVED
- Exam (elaborations) • 28 pages • 2023
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Write a fully executed R-Markdown program and submit a pdf file solving and answering questions listed below under Problems at the end of chapter 15. For clarity, make sure to give an appropriate title to each section. 
Problem 1: University Rankings 
(a, b, c, d, f) 
 Problem 4: Marketing to frequent fliers 
(a, c, d, e, f)
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Data_Mining_&_Statistical_Modeling_Week7_NEC_SOLVED
- Exam (elaborations) • 28 pages • 2023
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Write a fully executed R-Markdown program and submit a pdf file solving and answering questions listed below under Problems at the end of chapter 9. For clarity, make sure to give an appropriate title to each section. 
 Problem 1: Competitive auctioning on ebay (a, d, e, f) 
 Problem 3: Predicting prices of used cars (a, b)
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Data_Mining_&_Statistical_Modeling_Week6_NEC_SOLVED
- Exam (elaborations) • 16 pages • 2023
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Write a fully executed R-Markdown program and submit a pdf file solving and answering questions listed below under Problems at the end of chapter 8. For clarity, make sure to give an appropriate title to each section. 
Problem 1: Personal Loan Acceptance (a, d) 
Problem 2: Automobile Accidents (b, c)
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Data_Mining_&_Statistical_Modeling_Week3_NEC_SOLVED
- Exam (elaborations) • 15 pages • 2023
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Write a fully executed R-Markdown program and submit a pdf file solving and answering questions listed below under Problems at the end of chapter 3. For clarity, make sure to give an appropriate title to each section. 
Problem 1: Shipments of household appliances (a, c, d) 
Problem 2: Sales of riding mowers 
Problem 3: Laptop sales at a London computer chain (a, b) 
Problem 4: Laptop sales at a London computer chain (a, b)
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Data_Mining_&_Statistical_Modeling_Week9_NEC_SOLVED
- Exam (elaborations) • 47 pages • 2023
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Write a program using R-Markdown answering questions from the Week_9_case_study document.
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Data_Mining_&_Statistical_Modeling_Week5_NEC_SOLVED
- Exam (elaborations) • 12 pages • 2023
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Write a fully executed R-Markdown program and submit a pdf file solving and answering questions listed below under Problems at the end of chapter 7. For clarity, make sure to give an appropriate title to each section. 
Problem 2: Personal Loan Acceptance (a, b, c, d) 
Problem 3: Predicting Housing Median Prices (a, b)
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