Decision Trees and Random Forrests Klaus- ̈ller Klaus- ̈ller Lecture at TUB 2022 Copyright By PowCoder代写 加微信 powcoder Tree-based Methods – applications Klaus- ̈ller Lecture at TUB 2022 Tree-based Methods – applications Klaus- ̈ller Lecture at TUB 2022 Tree-based Methods – background Tree-based Methods – background Klaus- ̈ller Lecture at TUB 2022 Decision Trees – […]
ISOM3360 Data Mining for Business Analytics, Session 9 Logistic Regression Instructor: Department of ISOM Spring 2022 Copyright By PowCoder代写 加微信 powcoder A Few Questions to Ask Yourself What is linear regression? What business applications can it be used for? What is simple vs. multiple linear regression? What are considered as the right parameters/coefficients for linear
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COMP3308/COMP3608 Artificial Intelligence Week 10 Tutorial exercises Support Vector Machines. Ensembles of Classifiers. This week we have a smaller number of tutorial exercises. We will use the remaining time for questions about Assignment 2. Copyright By PowCoder代写 加微信 powcoder Regarding Assignment 2: Please do not underestimate the report! It is worth 12/24 marks = 50%
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COMP 4925 Final Exam Each student must work on this lab on their own and submit their own original work. Your instructor may follow up with a one-on-one interview, if needed, to verify the authenticity of each submission. All submissions that are similar to each other will receive 0! Answer each of the following questions
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COMP20008 Semester One 2019 Sample Exam The University of Melbourne Semester One 2019 Sample Exam Department: Computing and Information Systems Subject Number: COMP20008 Subject Title: Elements of Data Processing Exam Duration: 2 hours Reading Time: 15 minutes This paper has 6 pages Authorised Materials: No calculators may be used. Instructions to Invigilators: Supply students with
COMP20008 Semester Two 2018 Exam The University of Melbourne Semester Two 2018 Exam School: Computing and Information Systems Subject Number: COMP20008 Subject Title: Elements of Data Processing Exam Duration: 2 hours Reading Time: 15 minutes This paper has 9 pages Authorised Materials: No calculators may be used. Instructions to Invigilators: Supply students with standard script
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COMP20008 Semester One 2016 Exam The University of Melbourne Semester One 2016 Exam Department: Computing and Information Systems Subject Number: COMP20008 Subject Title: Elements of Data Processing Exam Duration: 2 hours Reading Time: 15 minutes This paper has 6 pages Authorised Materials: No calculators may be used. Instructions to Invigilators: Supply students with standard script
COMP20008 Semester One 2018 Exam The University of Melbourne Semester One 2018 Exam School: Computing and Information Systems Subject Number: COMP20008 Subject Title: Elements of Data Processing Exam Duration: 2 hours Reading Time: 15 minutes This paper has 8 pages Authorised Materials: No calculators may be used. Instructions to Invigilators: Supply students with standard script
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COMP20008 Elements of Data Processing Classification Semester 1, 2020 Contact: uwe.aickelin@unimelb.edu.au Where are we now? 2 Classification • Introduction to classification • Comparing Classification and Regression • Decision tree classification • Will make connections to entropy • k nearest neighbour classification 3 Classification vs Regression 4 Classification • Classification • Making predictions about the future,
COMP20008 Elements of Data Processing Experimental Design Semester 1, 2020 Contact: uwe.aickelin@unimelb.edu.au Where are we now? 2 Supervised vs Unsupervised Learning 3 Experimental Design • Feature Selection • Dimensionality Reduction • Performance Evaluation • Real-world Example – Medical Datamining 4 Feature Selection 5 Feature selection for machine learning • A series of data wrangling steps