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DataRay Academy
Machine Learning
A practical machine learning course covering foundations, model building, evaluation, and real-world applications.
AvailableAI & Advanced Data Science
Track
AI & Advanced Data Science
Duration
6–8 weeks
Level
Beginner to Intermediate
Format
Self-paced / instructor-supported
Learning objectives
- • Understand core machine learning concepts and workflows
- • Build regression and classification models
- • Evaluate model performance properly
- • Work with real datasets and applied case studies
- • Develop project-based ML skills
Course modules
Module 1
Introduction to Machine Learning
Module 2
Data Preparation and Preprocessing
Module 3
Supervised Learning: Regression
Module 4
Supervised Learning: Classification
Module 5
Model Evaluation and Validation
Module 6
Feature Engineering
Module 7
Introduction to Neural Networks
Module 8