Certificate in Supervised Learning Concepts
-- ViewingNowThe Certificate in Supervised Learning Concepts course is a comprehensive program designed to equip learners with essential skills in supervised machine learning. This course focuses on industry-demanded concepts, algorithms, and modeling techniques, empowering learners to build and implement predictive models.
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โข Introduction to Supervised Learning
โข Types of Supervised Learning: Regression and Classification
โข Supervised Learning Algorithms: Linear Regression and Logistic Regression
โข Evaluation Metrics for Supervised Learning: Accuracy, Precision, Recall, and F1 Score
โข Decision Trees and Random Forest for Supervised Learning
โข Support Vector Machines (SVM)
โข Ensemble Methods in Supervised Learning: Bagging and Boosting
โข Regularization Techniques in Supervised Learning: L1 and L2 Regularization
โข Real-world Applications of Supervised Learning
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