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Course Content
Overview
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Unit 1 : Data Splitting Foundations
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Unit 2 : Defining Features and Target
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Unit 3 : Train Test Split
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Unit 4 : Missing Data Handling
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Unit 5 : Encoding Feature Engineering
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Unit 6 : Feature Selection & Feature Extraction
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Unit 7 : Imbalanced Data
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Unit 8 : Data Scaling and Cross-Validation Pipeline
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