Professional Certificate in Machine Learning Model Validation
-- viewing nowThe Professional Certificate in Machine Learning Model Validation is a crucial course designed to equip learners with essential skills in validating and tuning machine learning models. This program emphasizes the importance of assessing model performance, identifying errors, and preventing overfitting, thereby ensuring the production of reliable and accurate predictions.
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Course details
• Introduction to Machine Learning Model Validation
• Types of Machine Learning Model Validation
• Split Validation Techniques in Machine Learning
• Cross-Validation Techniques in Machine Learning
• Train-Test Split in Machine Learning Model Validation
• K-Fold Cross-Validation
• Leave-One-Out Cross-Validation
• Underfitting and Overfitting in Machine Learning Model Validation
• Metrics for Machine Learning Model Validation
• Performance Evaluation of Machine Learning Models
Career path
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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