Coursera MOOC / Non-credit 0

ML Model Training & Validation

Name: ML Model Training & Validation
Price: 49 USD
Availability: InStock

About this course

This Specialization equips learners with end-to-end skills for training, validating, and optimizing machine learning models in production environments. Through hands-on labs and practical exercises, you'll learn to transform raw data into model-ready datasets, train and compare multiple algorithm families, evaluate model performance using appropriate metrics, and implement validation strategies including cross-validation and explainability techniques like SHAP. You'll also build production-grade skills in ML pipeline orchestration, experiment versioning, resource monitoring, debugging ML-specific failures, and monitoring deployed models for drift. By completion, you'll confidently deliver reproducible, cost-efficient, and reliable ML workflows that meet real-world business requirements.

56/100

CourseAsk score

What the provider tells you: 32/45
Who stands behind it: 8/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

transform raw data into model-ready datasets
train and compare multiple algorithm families
evaluate model performance using appropriate metrics
implement validation strategies like cross-validation
apply explainability techniques such as SHAP
build skills in ML pipeline orchestration and experiment versioning
monitor deployed models for drift

Machine Learning #machine learning #model monitoring #model evaluation #debugging #model training #cross-validation #cost efficiency #data preprocessing #shap #algorithm comparison #ML pipeline #experiment versioning

$49.00

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