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ML Model Evaluation & Metrics
One of the most in-demand skills in the industry. Some background required. Master ML Model Evaluation & Metrics with hands-on projects and real-world applications.
3.8(6)
•2 Students Enrolled•intermediate•1 week•EnglishCourse Overview
One of the most in-demand skills in the industry. Some background required. Master ML Model Evaluation & Metrics with hands-on projects and real-world applications. Curriculum Structure & Core Modules: • 1. Foundations of ML Evaluation • 2. Classification Metrics • 3....
What You'll Learn
- Master the core concepts and principles of ML Model Evaluation & Metrics
- Apply practical skills through hands-on projects and real-world exercises
- Understand industry best practices and professional workflows in AI & Machine Learning
- Build job-ready skills that employers in AI & Machine Learning are looking for
- Develop problem-solving techniques specific to ML Model Evaluation & Metrics
Requirements
- Basic computer literacy and a stable internet connection
- Willingness to learn and dedicate time to practice regularly
- No prior experience required — this course starts from the fundamentals
- A computer or laptop capable of running a modern web browser
Earn Your Certificate
Showcase your skills with a certificate! Complete the course, submit your project, and earn your certificate. Here's a sample of what you'll receive to show off your accomplishments.
Course Curriculum
Open-access academic curriculum. All foundational lectures available to read free.
8 Chapters
•32 Lecture
•0s
1. The ML Evaluation Mindset
LESSON 1 OF 3 | INTRODUCTION Foundations of ML Evaluation — Introduction & Overview ML Model Evaluation & Metrics Intermediate Level What You Will Learn Welcome to the first lesson on Foundations of ML Evaluation. This introductory lesson sets the stage for everything that follows. By the end of this three-part lesson series, you will have a thorough understanding of Foundations of...
2. Train Test Validation Splits
LESSON 2 OF 3 | CORE CONCEPTS Foundations of ML Evaluation — Core Concepts & Theory ML Model Evaluation & Metrics Intermediate Level Core Theoretical Framework Having introduced Foundations of ML Evaluation in Lesson 1, we now examine its core concepts and theoretical framework in detail. This lesson presents the established knowledge base that underpins this topic within ML Model...
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3. Cross-Validation Strategies
LESSON 3 OF 3 | PRACTICE & APPLICATION Foundations of ML Evaluation — Practice & Application ML Model Evaluation & Metrics Intermediate Level From Theory to Practice This final lesson in the Foundations of ML Evaluation series moves from theory to practical application. Having covered the introduction and core concepts, you now apply what you have learned through structured exe...
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4. Bias Variance Tradeoff
LESSON 1 OF 3 | INTRODUCTION Foundations of ML Evaluation — Introduction & Overview ML Model Evaluation & Metrics Intermediate Level What You Will Learn Welcome to the first lesson on Foundations of ML Evaluation. This introductory lesson sets the stage for everything that follows. By the end of this three-part lesson series, you will have a thorough understanding of Foundations of...
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5. Chapter 1 Quiz: Foundations of ML Evaluation
6. Evaluation Setup and Cross-Validation
Academic Ecosystem & Connected Pathways
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Instructor
PAMCET Learning Team
Institutional Course Curation · PAMCET
Qualifications:
PAMCET Learning Team — Institutional Course Curation, Digitpen Hub LtdMy Skills:
- Curriculum Curation
- Course Content Review
- Learning Outcome Design
- Course Publishing & Quality Assurance
- Platform Content Operations
Reviews
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Free$6100% Off
Certificate available separately for $20 after completionCourse Includes
8 Chapters
32 Lectures
1 week
Skill Level intermediate
Taught in English
Lifetime Access
Certification of Completion
Category: AI & Machine Learning
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