All courses
Artificial Intelligence
INTERMEDIATE
Machine Learning
This professional Machine Learning program takes learners through ML Workflow, Data Preparation, Regression, Classification, Trees and Ensembles, Clustering, Feature Engineering, Model Deployment. Target audience: Analysts and developers building predictive models from data.
Jane Instructor8 chapters38 hoursCertificate included
What you'll learn
Apply ml workflow to a practical Machine Learning project.
Apply data preparation to a practical Machine Learning project.
Apply regression to a practical Machine Learning project.
Apply classification to a practical Machine Learning project.
Apply trees and ensembles to a practical Machine Learning project.
Apply clustering to a practical Machine Learning project.
Skills covered
Python
scikit-learn
Regression
Classification
Feature Engineering
MLOps
Prerequisites
- Python and basic statistics
Who this is for
Analysts and developers building predictive models from data.
Course modules
3Regression
4Classification
5Trees and Ensembles
6Clustering
7Feature Engineering
8Model Deployment
Assessments and certification
Machine Learning Practice Quiz
8 questions · 20 min · Pass mark 70%
Quiz
Machine Learning Certification Exam
8 questions · 60 min · Pass mark 70%
Final exam
Earn your AMNEXT ACADEMY certificate
Complete the course and pass its certification assessment to receive a verifiable certificate.