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Machine Learning Models in Python

Track :

Programming

Lessons no : 6

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What will you learn in this course?
  • Develop and implement decision tree algorithms for classification and regression tasks using Python and scikit-learn
  • Analyze data to select appropriate features and optimize decision tree models for accuracy and efficiency
  • Apply pruning techniques to prevent overfitting and improve decision tree model generalization in Python
  • Evaluate model performance using metrics like accuracy, precision, recall, and F1-score for classification problems
  • Visualize decision trees to interpret model decisions and enhance explainability in machine learning projects
  • Integrate decision tree models into real-world Python applications for predictive analytics and data-driven decision making

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Lessons | 6


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Abitha S 

Gained Useful information
2025-08-16

AKHILA.A.L 

good
2024-02-26

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Decision Tree algorithm in machine learning is one of the most popular algorithm in use today; this is a supervised learning algorithm that is used for classifying problems. It works well classifying for both categorical and continuous dependent variables .