Logistic regression in Python. Machine learning models such as Logistic Regression, Discriminant Analysis &KNN in Python
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Understand how to interpret the result of Logistic Regression model in Python and translate them into actionable insight
Learn the linear discriminant analysis and K-Nearest Neighbors technique in Python
Preliminary analysis of data using Univariate analysis before running classification model
Predict future outcomes basis past data by implementing Machine Learning algorithm
Indepth knowledge of data collection and data preprocessing for Machine Learning logistic regression problem
This comprehensive Machine Learning: Logistic Regression, LDA & K-NN in Python 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: Logistic Regression, LDA & K-NN in Python course:
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Everything you need to know about this online course, from duration to certification
Course Instructor
Start-Tech Academy
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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