Knn - Study guides, Class notes & Summaries

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ISYE 6501 Midterm 1 EXAM  QUESTIONS WITH 100%  SOLUTIONS LATEST UPDATE  2023/2024
  • ISYE 6501 Midterm 1 EXAM QUESTIONS WITH 100% SOLUTIONS LATEST UPDATE 2023/2024

  • Exam (elaborations) • 6 pages • 2023
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  • ISYE 6501 Midterm 1 EXAM QUESTIONS WITH 100% SOLUTIONS LATEST UPDATE 2023/2024 True or false: In a regression tree, every leaf of the tree has a different regression model that might use different attributes, have different coefficients, etc. - ANSWER True - Each leaf's individual model is tailored to the subset of data points that follow all of the branches leading to the leaf. True or false: Tree-based approaches can be used for other models besides regression. - ANSWER True ...
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Nutrition_Case_Study_ML_Week9_NEC Nutrition_Case_Study_ML_Week9_NEC
  • Nutrition_Case_Study_ML_Week9_NEC

  • Exam (elaborations) • 13 pages • 2023
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  • The main objective is to write a fully executed R-Markdown program performing regression prediction for the response variable using the best models found for kNN, Random Forest and XGBoost techniques predicting the response variable in the Nutrition case study. Make sure to describe the final hyperparameter settings of all algorithms that were used for comparison purposes. You are required to clearly display and explain the models that were run for this task and their effect on the reduction of...
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1BM110 - Summary of Lectures (2023)
  • 1BM110 - Summary of Lectures (2023)

  • Summary • 48 pages • 2023
  • A summary of the lectures in the course of 1BM110 - Data Driven Artificial Intelligence for the master track Innovation Management in Industrial Engineering / Technische Bedrijfskunde given at the Eindhoven University of Technology.
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COMP 615 (Foundations of Data  Science) Exam Questions Frequently  Tested Rated A.
  • COMP 615 (Foundations of Data Science) Exam Questions Frequently Tested Rated A.

  • Exam (elaborations) • 31 pages • 2024
  • This session provides an overview of topics covered during this course. Introduction to Data Science Data Exploration and Visualization Sampling and Empirical Distributions Association, Correlation Coefficient, Regression Error Estimation Prediction Classification: K-Nearest Neighbours (KNN) Classification: Decision Tree Classification: Basic Concepts & Model Evaluation Artificial Neural Networks Feature Selection Methods
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ISYE 6501 MIDTERM 1 COMPLETE  EXAM WITH UPGRADED QUESTIONS  AND ANSWERS
  • ISYE 6501 MIDTERM 1 COMPLETE EXAM WITH UPGRADED QUESTIONS AND ANSWERS

  • Exam (elaborations) • 20 pages • 2024
  • What do descriptive questions ask? - CORRECT ANSWER-What happened? (e.g., which customers are most alike) What do predictive questions ask? - CORRECT ANSWER-What will happen? (e.g., what will Google's stock price be?) What do prescriptive questions ask? - CORRECT ANSWER-What action(s) would be best? (e.g., where to put traffic lights) What is a model? - CORRECT ANSWER-Real-life situation expressed as math. What do classifiers help you do? - CORRECT ANSWER-differentiate What is a soft...
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CS434 Machine Learning and Data Mining Midterm
  • CS434 Machine Learning and Data Mining Midterm

  • Exam (elaborations) • 8 pages • 2024
  • What occurs if our model makes no assumptions? - correct answer-No learning occurs! How many possible mappings exist for a binary vector of length d mapping to a binary output? - correct answer-2^(2^(d)) possible mappings What if we have n data points? - correct answer-Still 2^(2(^(d) - n) -- SO many! What assumption do we make for kNN? - correct answer-(i) Label changes smoothly as features change in local regions; (ii) Each feature affects the output independently What assumption do w...
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ISYE 6501 Midterm 1 exam 2023/2024 with 100% correct answers
  • ISYE 6501 Midterm 1 exam 2023/2024 with 100% correct answers

  • Exam (elaborations) • 7 pages • 2023
  • True or false: In a regression tree, every leaf of the tree has a different regression model that might use different attributes, have different coefficients, etc. - correct answer True - Each leaf's individual model is tailored to the subset of data points that follow all of the branches leading to the leaf. True or false: Tree-based approaches can be used for other models besides regression. - correct answer True - For example, a classification tree might have a different SVM or KNN ...
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ISYE 6501 Midterm 1 QUESTIONS CORRECTLY ANSWERED LATEST UPDATE
  • ISYE 6501 Midterm 1 QUESTIONS CORRECTLY ANSWERED LATEST UPDATE

  • Exam (elaborations) • 7 pages • 2023
  • Available in package deal
  • ISYE 6501 Midterm 1 QUESTIONS CORRECTLY ANSWERED LATEST UPDATE Support Vector Machine(SVM) is a supervised machine learning algorithm used for? - ANSWER Classification How to split the data if we only have one model? - ANSWER 70% training data, 30% testing data How to split the data if we want to compare models? - ANSWER 70% training, 15% validation and 15% testing When do we need to do scaling in data? - ANSWER When our factors/attributes/dimensions are orders of magnitude differe...
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ISYE 6501 FINAL ACTUAL EXAM (UPDATED QUESTIONS AND ANSWERS)
  • ISYE 6501 FINAL ACTUAL EXAM (UPDATED QUESTIONS AND ANSWERS)

  • Exam (elaborations) • 33 pages • 2024
  • Available in package deal
  • What do descriptive questions ask? - CORRECT ANSWER-What happened? (e.g., which customers are most alike) What do predictive questions ask? - CORRECT ANSWER-What will happen? (e.g., what will Google's stock price be?) What do prescriptive questions ask? - CORRECT ANSWER-What action(s) would be best? (e.g., where to put traffic lights) What is a model? - CORRECT ANSWER-Real-life situation expressed as math. What do classifiers help you do? - CORRECT ANSWER-differentiate What is a soft...
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ISYE 6501 Midterm 1 QUESTIONS CORRECTLY ANSWERED LATEST UPDATE Support Vector Machine(SVM) is a supervised machine learnin
  • ISYE 6501 Midterm 1 QUESTIONS CORRECTLY ANSWERED LATEST UPDATE Support Vector Machine(SVM) is a supervised machine learnin

  • Exam (elaborations) • 7 pages • 2023
  • Available in package deal
  • ISYE 6501 Midterm 1 QUESTIONS CORRECTLY ANSWERED LATEST UPDATE Support Vector Machine(SVM) is a supervised machine learning algorithm used for? - ANSWER Classification How to split the data if we only have one model? - ANSWER 70% training data, 30% testing data How to split the data if we want to compare models? - ANSWER 70% training, 15% validation and 15% testing When do we need to do scaling in data? - ANSWER When our factors/attributes/dimensions are orders of magnitude differe...
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