Professional Certificate in Handling Outliers in the Feature Engineering Process
-- ViewingNowThe Professional Certificate in Handling Outliers in the Feature Engineering Process is a comprehensive course designed to equip learners with essential skills to tackle outliers in the data pre-processing stage. This certificate course is crucial for professionals in data science, machine learning, and analytics industries, where identifying and handling outliers can significantly impact the accuracy and reliability of predictive models.
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โข Understanding Outliers in Feature Engineering
โข Identifying Outliers with Statistical Methods
โข Handling Outliers using Data Imputation Techniques
โข Outlier Detection using Machine Learning Algorithms
โข Removing Outliers: Advantages and Disadvantages
โข Transforming Outliers with Scaling and Normalization
โข Advanced Outlier Handling Techniques
โข Evaluating Outlier Detection Models
โข Real-world Applications of Outlier Handling in Feature Engineering
โข Best Practices for Outlier Handling in Feature Engineering
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