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Applied Machine Learning| Assignment 1 solution |week 1| ML Application by using Python
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Coursera Applied Machine Learning
Week 1
Key Concepts
Understand basic machine learning concepts and workflow
Distinguish between different types of machine learning tasks, based on examples of how they are applied to real-world problems
Understand how a basic classification algorithm (k-nearest neighbors) learns and makes predictions
Build and evaluate a basic k-nearest neighbors classifier on an example dataset using Python and scikit-learn
Week 1
Key Concepts
Understand basic machine learning concepts and workflow
Distinguish between different types of machine learning tasks, based on examples of how they are applied to real-world problems
Understand how a basic classification algorithm (k-nearest neighbors) learns and makes predictions
Build and evaluate a basic k-nearest neighbors classifier on an example dataset using Python and scikit-learn
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