Executive Development Programme in Model Development: Essentials
-- viewing nowThe Executive Development Programme in Model Development: Essentials is a certificate course designed to empower professionals with the essential skills for modeling in today's data-driven business landscape. This program focuses on the importance of model development, providing a comprehensive understanding of the principles, techniques, and best practices in building effective models.
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Course Details
• Introduction to Model Development: Overview of model development, its importance, and applications.
• Data Preprocessing: Data cleaning, normalization, and transformation techniques.
• Feature Engineering: Techniques to extract, transform, and select features to improve model performance.
• Regression Models: Linear and logistic regression, least squares method, and regularization techniques.
• Classification Models: Decision trees, random forests, support vector machines, and naive Bayes.
• Model Evaluation: Performance metrics, cross-validation, and statistical tests.
• Supervised Learning: Overview of supervised learning, algorithms, and applications.
• Unsupervised Learning: Overview of unsupervised learning, clustering, and dimensionality reduction.
• Deep Learning: Neural networks, backpropagation, and convolutional neural networks.
• Model Deployment: Model deployment strategies, version control, and monitoring techniques.
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