Certification Badge

Machine Learning Practitioner

Free

The Machine Learning Practitioner Certification evaluates intermediate proficiency in machine learning. It covers model evaluation, optimization, algorithm implementation, and hands-on problem-solving.

Training Exam

Details

  • Open Book: No
  • Questions: 60
  • Passing Score: 80%
  • Duration: 90 minutes

Certificate Coverage

  • Supervised and unsupervised learning
  • Neural networks and deep learning basics
  • Feature engineering and preprocessing techniques
  • Evaluation metrics and model selection
  • Regularization and hyperparameter tuning
  • Python-based practical coding examples
Description

The Machine Learning Practitioner Certification is designed to validate an individual’s ability to apply intermediate-level machine learning concepts to real-world problems. This certification is ideal for professionals and students who have foundational knowledge of machine learning and wish to demonstrate their expertise in data preprocessing, model evaluation, and algorithm selection. Participants will tackle questions ranging from supervised and unsupervised learning to feature engineering, neural networks, and optimization techniques. The exam includes practical coding challenges, conceptual questions, and case-based scenarios to ensure comprehensive evaluation.

The certification also emphasizes understanding the trade-offs in model performance, hyperparameter tuning, and the application of evaluation metrics. Successful candidates will demonstrate the ability to select appropriate models, address overfitting, and utilize tools like Python libraries to solve predictive and analytical problems.

This certification is a valuable asset for professionals looking to advance their careers in data science, AI, and machine learning engineering.