Postgraduate Certificate in Encoding Nominal Categorical Features
-- ViewingNowThe Postgraduate Certificate in Encoding Nominal Categorical Features is a specialized course designed to enhance the skills of data scientists, statisticians, and analysts. This certificate program focuses on the critical aspect of data encoding, which is essential for accurate data analysis and machine learning models.
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โข Unit 1: Introduction to Encoding Nominal Categorical Features โข Unit 2: Overview of Categorical Variables and Feature Engineering โข Unit 3: One-hot Encoding: Theory and Applications โข Unit 4: Alternative Encoding Techniques: Ordinal Encoding, Binary Encoding, etc. โข Unit 5: Impact of Encoding Choices on Model Performance โข Unit 6: Encoding Nominal Categorical Features in Python โข Unit 7: Encoding Nominal Categorical Features in R โข Unit 8: Best Practices for Encoding Nominal Categorical Features โข Unit 9: Advanced Topics: Handling Large Categorical Features, Missing Values, etc. โข Unit 10: Real-world Case Studies in Encoding Nominal Categorical Features
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