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Building Machine Learning Systems

Track :

Programming

Lessons no : 9

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What will you learn in this course?
  • Design and implement scalable machine learning models using Python libraries like scikit-learn, TensorFlow, and PyTorch for real-world applications
  • Apply data preprocessing, feature engineering, and model evaluation techniques to improve machine learning system performance
  • Develop end-to-end machine learning pipelines for classification, regression, and clustering tasks in Python
  • Optimize machine learning algorithms for accuracy, efficiency, and robustness in practical scenarios
  • Troubleshoot common issues in machine learning systems, including overfitting, underfitting, and data imbalance
  • Integrate machine learning models into production environments using Python for deployment and monitoring

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
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  • The Certificate is free !
Lessons | 9


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Keerthika 

Nice course
2025-11-28

Fatima Abana 

Really informative
2025-11-17

Shirin S 

Good
2025-11-01

Revati Kirdat 

Excellent Course
2025-09-21

love rowin 

Nice
2025-08-24

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Python programmers, Building Machine Learning Systems with Python teaches you how to use open-source libraries to solve real problems with machine .