Graduate Certificate in Predictive Modelling with Clustering Analysis
-- ViewingNowThe Graduate Certificate in Predictive Modelling with Clustering Analysis is a comprehensive course that equips learners with essential skills in predictive analytics and data modelling. This course is crucial in today's data-driven world, where businesses rely heavily on data to make informed decisions.
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โข Unit 1: Introduction to Predictive Modeling • Overview of predictive modeling • Importance and applications
โข Unit 2: Data Preprocessing • Data cleaning • Data transformation • Feature selection
โข Unit 3: Regression Analysis • Simple linear regression • Multiple linear regression • Logistic regression
โข Unit 4: Time Series Analysis • Autoregressive (AR) models • Moving average (MA) models • ARIMA models
โข Unit 5: Clustering Analysis • K-means clustering • Hierarchical clustering • DBSCAN
โข Unit 6: Supervised Learning • Decision trees • Random forest • Support vector machines
โข Unit 7: Unsupervised Learning • Principal component analysis (PCA) • Independent component analysis (ICA) • Non-negative matrix factorization (NMF)
โข Unit 8: Model Evaluation • Cross-validation • Confusion matrix • Area under the ROC curve (AUC-ROC)
โข Unit 9: Deep Learning for Predictive Modeling • Neural networks • Convolutional neural networks (CNN) • Recurrent neural networks (RNN)
โข Unit 10: Ethics in Predictive Modeling • Bias • Discrimination • Privacy
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