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Lecture 10 - Regression models
EP/L10 - Simple linear regression models
General Information
Semester timeline
Grades
Lab Presentations
Lectures
Lecture 01 - Introduction
Lecture 02 - Common Mistakes & Metrics
Lecture 03 - Workloads
Lecture 04 - Charts
Lecture 05 - Summarising Measured Data
Lecture 06 - Comparing Systems
Lecture 07 - Performance Evaluation on Windows (1)
Lecture 08 - Performance Evaluation on Windows (2)
Lecture 09 - EP BitQuiz
Lecture 10 - Regression models
Bonus Lecture - Startup Performance
Labs
Lab 01 - CPU Monitoring (Linux)
Lab 02 - Memory Monitoring (Linux)
Lab 03 - I/O Monitoring (Linux)
Lab 04 - Network Monitoring (Linux)
Lab 05 - Plotting (Numpy & Matplotlib)
Lab 06 - Advanced plotting (seaborn & pandas)
Lab 07 - Test
Lab 08 - I/O Monitoring (Windows)
Lab 09 - Memory, CPU and Network Monitoring (Windows)
Lab 10 - Machine Learning
Lab 11 - Portfolio presentations
Lab 12 - Portfolio presentations
Resources
Assignments
Assignment
Dataset
Portfolio
ep/lectures/10.txt ยท Last modified: 2023/12/14 01:53 by emilian.radoi
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