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Certification

Certification: Foundations of Machine Learning for Beginners

Show the world you have AI skills—gain a solid foundation in machine learning concepts, tools, and real-world applications. This certification is designed for anyone ready to take the first step into the field of AI.

Exam of 10 to 20 questionsCertificate for LinkedInBeginner
IT and development
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The exam

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Multiple-choice questions about the course. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.

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What the exam covers

2 questions from each of the 15 chapters of the course

20 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.

  1. 01Introduction and 2024 roadmap10:39
  2. 02Must-have skills28:15
  3. 03Career paths and ML basics22:05
  4. 04Bias-variance trade-off7:05
  5. 05Overfitting and regularisation15:34
  6. 06Linear regression: statistical view13:18
  7. 07Linear regression theory23:24
  8. 08Logistic regression theory15:17
  9. 09Case study introduction18:07
  10. 10Loading data and defining variables12:15
  11. 11Cleaning and descriptive stats17:40
  12. 12IQR outlier detection10:21
  13. 13Correlation and train/test split20:31
  14. 14Running regression: causal analysis26:53
  15. 15OLS assumptions and prediction18:08
About the course

The Certification: Foundations of Machine Learning for Beginners introduces you to the core principles and techniques essential for getting started in machine learning. By completing this certification, you will develop skills such as increased productivity, improved decision-making, and adaptability to the evolving field of technology. Enroll today to unlock new career opportunities and gain a competitive advantage in the world of machine learning.

This certification covers the following topics:

  • Essential Skills for Machine Learning
  • Mathematics
  • Python Programming
  • Statistics
  • Machine Learning Core Concepts and Algorithms
  • Popular Algorithms
  • Natural Language Processing (NLP)
  • Applications of Machine Learning
  • Detailed Explanation of Linear Regression
  • Regression Evaluation Metrics
  • Bias-Variance Trade-off
  • Data Exploration
  • Data Cleaning
  • Model Training (Statsmodels)
  • Model Evaluation (Scikit-learn)

Jobs this certification suits

Our AI checked this certification against 500 jobs; these get the most out of it. Each job links to its learning path.

Insurance Data AnalystsBioinformaticiansData Analysts