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ISYE 6501 Introduction to Analytics - Georgia Institute Of Technology Complete Course
ISYE 6501 Introduction to Analytics - Georgia Institute Of Technology Complete Course
[Mostrar más]ISYE 6501 Introduction to Analytics - Georgia Institute Of Technology Complete Course
[Mostrar más]ISYE 6501 Homework 12: Power Company Case 
In approaching the power company case study, I find it best to break the problem into three more 
discrete and manageable parts. For each of these parts we can then better define the specific data 
needs, model usage, and results for each individual part. T...
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Añadir al carritoISYE 6501 Homework 12: Power Company Case 
In approaching the power company case study, I find it best to break the problem into three more 
discrete and manageable parts. For each of these parts we can then better define the specific data 
needs, model usage, and results for each individual part. T...
Week 2 Homework - Fall 2020 
Ques%on 3.1 
Using the same data set (credit_card_ or credit_card_) as in Ques%on 2.2, use the ksvm or kknn 
func%on to find a good classifier: 
I started by installing and running the “kknn” package. I then loaded the credit card data in to the “cd_info” variabl...
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Añadir al carritoWeek 2 Homework - Fall 2020 
Ques%on 3.1 
Using the same data set (credit_card_ or credit_card_) as in Ques%on 2.2, use the ksvm or kknn 
func%on to find a good classifier: 
I started by installing and running the “kknn” package. I then loaded the credit card data in to the “cd_info” variabl...
ement is a more accessible alternative to drag & drop reordering. Pres 
INSTRUCTIONS FOR QUESTIONS 1-5 
For each of the following five questions, select the probability distribution that could best be 
used to model the described scenario. Each distribution might be used, zero, one, or more 
than on...
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Añadir al carritoement is a more accessible alternative to drag & drop reordering. Pres 
INSTRUCTIONS FOR QUESTIONS 1-5 
For each of the following five questions, select the probability distribution that could best be 
used to model the described scenario. Each distribution might be used, zero, one, or more 
than on...
Question 3.1 
Using the same data set (credit_card_ or credit_card_) 
as in Question 2.2, use the ksvm or kknn function to find a good classifier: 
(a) using cross-validation (do this for the k-nearest-neighbors model; 
SVM is optional); 
Cross Validation is a model evaluation method to see how well...
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Añadir al carritoQuestion 3.1 
Using the same data set (credit_card_ or credit_card_) 
as in Question 2.2, use the ksvm or kknn function to find a good classifier: 
(a) using cross-validation (do this for the k-nearest-neighbors model; 
SVM is optional); 
Cross Validation is a model evaluation method to see how well...
ISYE-6501-OAN/O01/MSA Quizzes ISYE 6501 Midterm 2 
ISYE 6501 Midterm 2 
Due Apr 12 at 2am Points 100.02 Ques!ons 48 
Available un!l Apr 12 at 2am Time Limit 90 Minutes 
Instruc!ons 
This quiz was locked Apr 12 at 2am. 
A"empt History 
A"empt Time Score 
LATEST A"empt 1 40 minutes 86.22 out of 100...
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Añadir al carritoISYE-6501-OAN/O01/MSA Quizzes ISYE 6501 Midterm 2 
ISYE 6501 Midterm 2 
Due Apr 12 at 2am Points 100.02 Ques!ons 48 
Available un!l Apr 12 at 2am Time Limit 90 Minutes 
Instruc!ons 
This quiz was locked Apr 12 at 2am. 
A"empt History 
A"empt Time Score 
LATEST A"empt 1 40 minutes 86.22 out of 100...
Question 18.1 
Describe analytics models and data that could be used to make good recommendations to the power 
company. 
Here are some questions to consider: 
• The bottom-line question is which shutoffs should be done each month, given the capacity 
constraints. One consideration is that some of...
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Añadir al carritoQuestion 18.1 
Describe analytics models and data that could be used to make good recommendations to the power 
company. 
Here are some questions to consider: 
• The bottom-line question is which shutoffs should be done each month, given the capacity 
constraints. One consideration is that some of...
ISYE 6501 Midterm 1 : Intro Analytics Modeling - ISYE-6501-OAN/O01/QCH/ASY 

ISYE 6501 Midterm 1 
Due Mar 7 at 2am Points 100 Questions 45 
Available Feb 24 at 2am - Mar 7 at 2am 11 days Time Limit 95 Minutes 
Instructions 
onorlock Chrome Extension 
s exam requires Google Chrome and the Honorlock C...
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Añadir al carritoISYE 6501 Midterm 1 : Intro Analytics Modeling - ISYE-6501-OAN/O01/QCH/ASY 

ISYE 6501 Midterm 1 
Due Mar 7 at 2am Points 100 Questions 45 
Available Feb 24 at 2am - Mar 7 at 2am 11 days Time Limit 95 Minutes 
Instructions 
onorlock Chrome Extension 
s exam requires Google Chrome and the Honorlock C...
ISYE 6501 19SP1 HW 4 solution 
Question 7.1 
Describe a situation or problem from your job, everyday life, current events, etc., for which exponential 
smoothing would be appropriate. What data would you need? Would you expect the value of (the 
first smoothing parameter) to be closer to 0 or 1,...
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Añadir al carritoISYE 6501 19SP1 HW 4 solution 
Question 7.1 
Describe a situation or problem from your job, everyday life, current events, etc., for which exponential 
smoothing would be appropriate. What data would you need? Would you expect the value of (the 
first smoothing parameter) to be closer to 0 or 1,...
Question 14.1 
The breast cancer data set from 


values. 
1. Use the mean/mode imputation method to impute values for the missing data. 
2. Use regression to impute values for the missing data. 
3. Use regression with perturbation to impute values for the missing data. 
Below shows snippets from t...
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Añadir al carritoQuestion 14.1 
The breast cancer data set from 


values. 
1. Use the mean/mode imputation method to impute values for the missing data. 
2. Use regression to impute values for the missing data. 
3. Use regression with perturbation to impute values for the missing data. 
Below shows snippets from t...
Question 5.1 
Using crime data from the file (
description at 
outliers in the last column (number of crimes per 100,000 people). Use the function in 
the outliers package in R.
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Añadir al carritoQuestion 5.1 
Using crime data from the file (
description at 
outliers in the last column (number of crimes per 100,000 people). Use the function in 
the outliers package in R.
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