Undergraduate Certificate in Predictive Model Testing
-- ViewingNowThe Undergraduate Certificate in Predictive Model Testing is a comprehensive course designed to equip learners with the essential skills needed to excel in predictive model testing and data analysis. This certificate program is critical for career advancement as it provides students with a deep understanding of predictive model testing techniques and tools.
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⢠Introduction to Predictive Model Testing: Basics of predictive model testing, its importance, and applications.
⢠Data Preprocessing: Data cleaning, normalization, transformation, and feature selection.
⢠Statistical Analysis: Hypothesis testing, confidence intervals, and regression analysis.
⢠Model Evaluation Metrics: Accuracy, precision, recall, F1-score, ROC, and AUC.
⢠Cross-Validation Techniques: K-fold, stratified K-fold, and leave-one-out cross-validation.
⢠Bias-Variance Tradeoff: Understanding and managing the tradeoff between model bias and variance.
⢠Overfitting and Underfitting: Recognizing and preventing overfitting and underfitting.
⢠Model Selection and Tuning: Methods for selecting and fine-tuning predictive models.
⢠Model Interpretation and Reporting: Explaining model results, visualizations, and documentation.
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