Georgia tech Study guides, Study notes & Summaries

Georgia Tech Intro Analytics Modeling - ISYE-6501. 100% Accurate answers, rated A+ Document Content and Description Below Intro Analytics Modeling - ISYE-6501 Homework 7 Question 10.1 Using the same crime data set as in Questions 8.2 and 9.1, find the best model you can using (a) a regression tree model, and (b) a random forest model. In R, you can use the tree package or the rpart package, and the randomForest package. For each model, describe one or two qualitative takeaways you get from an...

Georgia Tech SYE 6501 - Homework 2 Jacob Wilson September 6, 2018, 100% Pass rate Document Content and Description Below ISYE 6501 - Homework 2 Jacob Wilson September 6, 2018 Question 3.1(a) – KKNN with Cross Validation Answer: In this problem, I utilized the “caret” library and the train function with a “k knn” method to perform 10 -fold cross validation. The following is the results: The most accurate classification was at k=23 because the accuracy is the highest and the data is cl...

Georgia Tech WEEK 2 HOMEWORK – SAMPLE SOLUTIONS IMPORTANT NOTE. 100% pass rate. Document Content and Description Below WEEK 2 HOMEWORK – SAMPLE SOLUTIONS IMPORTANT NOTE These homework solutions show multiple approaches and some optional extensions for most of the questions in the assignment. You don’t need to s ubmit all this in your assignments; they’re included here just to help you learn more – because remember, the main goal of the homework assignments, and of the entire course, ...

GEORGIA Tech, ISYE Full course, Graded A+, 2022 update Document Content and Description Below Week 1 Why Analytics? 6 Data Vocabulary 7 Classification 8 Support Vector Machines 11 Scaling and Standardization 13 k-Nearest Neighbor (KNN) 13 Week 2 Model Validation 16 Validation and Test Sets 17 Splitting the Data 18 Cross-Validation 20 Clustering 21 Supervised vs. Unsupervised Learning 22 Week 3 Data Preparation 25 Introduction to Outliers 25 Change Detection 27 Week 4 Time Series Data 31 AutoRe...

Georgia Tech Homework 2 Question 3.1, 100% Graded A+ Document Content and Description Below Homework 2 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); and Using leave-one-out crossvalidation with different kernel for classification data <- ("credit_card_", header = TRUE, sep = "") # Splitting data for t...

Georgia Tech ISYE Midterm 1 Notes: Week 1 Classification:, Graded A+ Document Content and Description Below ISYE Midterm 1 Notes: Week 1 Classification: - Two main types of classifiers: o Hard Classifier: A classifier that perfectly separates data into 2 (or more) correct classes. This type of classifie r is rigid and is only applicable to perfectly separable datasets. o Soft Classifier: A classifier that does not perfectly separate data into perfectly correct classes. This type is used when a...

Georgia Tech WEEK 2 HOMEWORK – SAMPLE SOLUTIONS IMPORTANT NOTE, Rated A+, 2022. Document Content and Description Below WEEK 2 HOMEWORK – SAMPLE SOLUTIONS IMPORTANT NOTE These homework solutions show multiple approaches and some optional extensions for most of the questions in the assignment. You don’t need to s ubmit all this in your assignments; they’re included here just to help you learn more – because remember, the main goal of the homework assignments, and of the entire course, ...

ISYE 6501- Homework 1 Michael Chapman August 23, 2018, Georgia Tech, Questions with accurate answers Document Content and Description Below ISYE 6501- Homework 1 Michael Chapman August 23, 2018 Question 2.1 In my current job, I am responsible for understanding my company’s customer experience feedback when processing an insurance c laim on their mobile device. This feedback is typically in the form of a survey. The main metric we use to gauge customer satisfaction is Net Promoter Score (NPS)...

Week 1 Homework ISYE 6501 5/21/2020, Georgia Tech, Questions and answers, Rated A+ Document Content and Description Below Question 2.1 Describe a situation or problem from your job, everyday life, current events, etc., for which a classification model would be appropriate. List some (up to 5) predictors that you might use.

Georgia tech ISYE 6501 OAN - Homework Week 4, Questions and answers, Graded A+, 2022/2023 Document Content and Description Below ISYE 6501 OAN - Homework Week 4 Contents 1 Question 7.1 1 2 Question 7.2 2 2.1 Set up . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.2 Load and examine the data for this assignment . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.3 Convert temps data to vector . . . . . . . . . . . . . . . . . . . . . . . ...