Executive Development Programme in Supervised Learning Innovations
-- ViewingNowThe Executive Development Programme in Supervised Learning Innovations is a certificate course designed to empower professionals with the latest advancements in supervised learning. This program emphasizes the importance of data-driven decision-making and innovation in today's technology-driven world.
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โข Supervised Learning Fundamentals: Introduction to supervised learning, types of supervised learning algorithms, use cases and applications.
โข Data Preprocessing: Data cleaning, normalization, feature selection, and data splitting for supervised learning models.
โข Linear Regression: Simple and multiple linear regression, assumptions, evaluation metrics, and regularization techniques.
โข Logistic Regression: Binary and multiclass logistic regression, odds ratios, and regularization techniques.
โข Decision Trees: Tree-based models, decision tree construction, overfitting, and pruning.
โข Random Forests: Ensemble learning, random forests, bagging, and feature importance.
โข Support Vector Machines: Introduction to SVM, kernel functions, SVM for classification and regression.
โข Neural Networks: Introduction to artificial neural networks, feedforward neural networks, backpropagation, and hyperparameter tuning.
โข Model Evaluation & Selection: Model evaluation metrics, cross-validation, and model selection techniques.
โข Ethical Considerations: Bias, fairness, and privacy in supervised learning models.
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