Global Certificate in Predictive Modeling: Impactful Predictions
-- ViewingNowThe Global Certificate in Predictive Modeling: Impactful Predictions course is a comprehensive program designed to equip learners with essential skills in predictive modeling. This course is crucial in today's data-driven world, where businesses increasingly rely on data to make informed decisions.
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โข Introduction to Predictive Modeling: Defining Predictive Modeling, its applications, and benefits. Understanding the differences between predictive modeling and other data analysis techniques. โข Data Preparation for Predictive Modeling: Data collection, cleaning, and preprocessing techniques. Feature engineering and selection. โข Predictive Modeling Techniques: Overview of regression, classification, and time-series analysis techniques. Linear regression, logistic regression, decision trees, and neural networks. โข Model Evaluation and Validation: Metrics and techniques for evaluating predictive models, including cross-validation, ROC curves, and lift charts. โข Model Deployment and Monitoring: Techniques for deploying and monitoring predictive models, including model versioning, A/B testing, and performance monitoring. โข Ethics in Predictive Modeling: Understanding the ethical implications of predictive modeling, including bias, privacy, and transparency. โข Natural Language Processing (NLP) for Predictive Modeling: Introduction to NLP and its applications in predictive modeling. Text preprocessing, topic modeling, and sentiment analysis. โข Predictive Modeling with Time-Series Data: Techniques for predictive modeling with time-series data, including ARIMA, exponential smoothing, and state-space models. โข Big Data and Predictive Modeling: Understanding the challenges and opportunities of predictive modeling with big data, including data storage, processing, and analysis.
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