Apply Machine Learning techniques to solve real-world problems with Python, scikit-learn and TensorFlow
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Solve interesting, real-world problems using machine learning with Python
Evaluate the performance of machine learning systems in common tasks
Create pipelines to deal with real-world input data
Traverse from concept to a production-ready machine learning setup/pipeline capable of real-world usage
Use Python to visualize data spread across multiple dimensions and extract useful features to implement machine learning classification and regression algorithms from scratch in Python
This comprehensive Machine Learning with Python, scikit-learn and TensorFlow curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Machine Learning with Python, scikit-learn and TensorFlow course:
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Everything you need to know about this online course, from duration to certification
Course Instructor
Packt Publishing
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
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