Certificate in Predictive Modeling Fundamentals: Smarter Outcomes
-- ViewingNowThe Certificate in Predictive Modeling Fundamentals: Smarter Outcomes course is a comprehensive program designed to equip learners with the essential skills required for predictive modeling. This course is crucial in today's data-driven world, where businesses rely heavily on data analysis to make informed decisions.
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โข Introduction to Predictive Modeling: Understanding the basics, concepts, and principles of predictive modeling. โข Data Preparation for Predictive Modeling: Data cleaning, preprocessing, and transforming raw data into usable formats. โข Regression Analysis: Simple and multiple linear regression, logistic regression, and model evaluation. โข Classification Techniques: Decision trees, random forests, support vector machines, and naive Bayes classifiers. โข Time Series Analysis: Autoregressive, moving average, ARIMA, and exponential smoothing models. โข Machine Learning Algorithms: Unsupervised and supervised learning, neural networks, and ensemble methods. โข Model Validation and Evaluation: Metrics, statistical tests, cross-validation, and model selection. โข Data Visualization: Visualizing data and models using libraries such as matplotlib, seaborn, and ggplot. โข Ethics and Bias in Predictive Modeling: Understanding ethical considerations, potential biases, and fairness in predictive modeling.
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- BasicUnderstandingSubject
- ProficiencyEnglish
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- DedicationCompleteCourse
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