Naive Bayes Classifier, Decision tree, PCA, kNN classifier, linear regression, logistic regression,SVM classifier
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Linear Regression, SVR, Decision Tree Regression, Random Forest Regression
Machine Learning, Deep Learning, AI and Data Science Basic Concepts
Python package “Numpy” for numerical computation, Python package “Matplotlib” for visualization and plotting, Python package “pandas” for data analysis
Polynomial Regression
Logistic Regression
This comprehensive Machine Learning using Python : Learn Hands-On 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 using Python : Learn Hands-On course:
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Everything you need to know about this online course, from duration to certification
Course Instructor
Hands-On Skill
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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