Develop and apply Machine Learning techniques using powerful features of Python and scikit-learn
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Build and design model pipelines using scikit-Learn to enhance your model performance
Develop and apply Machine Learning techniques using powerful features of Python and scikit-learn
Build a data model and understand how a data model works
Learn to tune the parameters of support vector machines and implement clusters to a dataset
Understand the feature selection and feature engineering process to assess performance and error trade-offs for Linear Regression
This comprehensive Machine Learning with Python and scikit-Learn: 3-in-1 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.
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What you need before starting this Machine Learning with Python and scikit-Learn: 3-in-1 course:
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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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