ISYE 6501 Introduction to Analytics

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.

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 the code where I used the mean/mode method to identify and impute values for missing data, which showed up in variable/column “V7”. First we test to see how many observations under “V7” are m...

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, and why? Solution 7.1 Exponential smoothing would be appropriate to be used in forecasting USA Gross domestic product (GDP). The Gross domestic Product (GDP) is the market value of all final goods...

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 Chrome Extension.  Extension Required Add the Honorlock extension to continue I agree to Honorlock's Terms of Service ( Honorlock's Privacy Policy ( Get Started 4/14/22, 4:33 PM ISYE 6501 Mid...

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 the capacity – the workers’ time – is taken up by travel, so maybe the shutoffs can be scheduled in a way that increases the number of them that can be done. • Not every shutoff is equal. ...

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 100.02 Score for this quiz: 86.22 out of 100.02 Submi"ed Apr 11 at 5:07pm This a"empt took 40 minutes. Honorlock Chrome Extension Honorlock Chrome Extension This exam requires Google Chrome and th...

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 our model has performed and prevent over fitting. Supposed we receive a dataset with n data points, we do not use all these data points for training instead we split them into training data and tes...

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 one time in the five questions. These scenarios are meant to be simple and straightforward; if you're an expert in the field the question asks about, please do not rely on your expertise to fill in a...

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” variable. I then proceeded with the cross valida<on process using the “” func<on with a “k” value of “30”. (I had a small error, but was then able to run the code). I ended up with a ...

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. Then, it is possible bring these individually addressed issues together to create a cohesive analysis for the case. The three primary addressable parts are the following: 1) Classifying a non-paying...