Train ML Models
By Coursera
on Coursera
· Data Science
About This Course
This course equips learners with practical, job-ready skills to train and evaluate supervised machine learning models for land-cover classification. Learners progress through an end-to-end analytical workflow, beginning with spectral and texture feature engineering, followed by training a Random Forest classifier, and concluding with rigorous validation using confusion-matrix-based accuracy assessment. By the end of the course, learners produce a land-cover map that meets a minimum accuracy threshold, mirroring real-world data analysis workflows.
Instructor
ansrsource instructors
Frequently Asked Questions
How much does Train ML Models cost?
Visit the Train ML Models course page for current pricing and available discounts.
Who teaches Train ML Models?
Train ML Models is taught by ansrsource instructors, Coursera.
What skill level is Train ML Models for?
This course is designed for all levels learners.