Professional Certificate in Applied Predictive Modeling in Business
-- ViewingNowThe Professional Certificate in Applied Predictive Modeling in Business is a comprehensive course that empowers learners with essential skills for data-driven decision making. This program emphasizes the importance of predictive modeling in solving real-world business problems, thereby increasing efficiency and profitability.
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โข Introduction to Predictive Modeling: Fundamentals of predictive modeling, understanding business problems, data preparation, model selection
โข Data Preprocessing: Data cleaning, normalization, transformation, feature selection, and dimensionality reduction
โข Regression Analysis: Simple and multiple linear regression, polynomial regression, logistic regression, and regularization techniques
โข Time Series Analysis: Autoregressive (AR), moving average (MA), autoregressive integrated moving average (ARIMA), and exponential smoothing models
โข Classification Techniques: Decision trees, random forests, support vector machines (SVM), k-nearest neighbors (KNN), and naive Bayes classifiers
โข Unsupervised Learning: Cluster analysis, principal component analysis (PCA), and anomaly detection
โข Model Evaluation: Performance metrics, cross-validation, overfitting, underfitting, and model selection criteria
โข Ensemble Methods: Bagging, boosting, and stacking, with a focus on Random Forests, AdaBoost, and Gradient Boosting Machines (GBM)
โข Deep Learning: Artificial neural networks (ANN), convolutional neural networks (CNN), and recurrent neural networks (RNN)
โข Deploying Predictive Models: Model deployment strategies, data pipelines, version control, and model monitoring
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