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CodeSignal

Data Preprocessing for Predictive Modeling

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Overview

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Unveil how preprocessing refines data to make predictive models more effective. Learn to handle missing values, outliers and categorical variables, ensuring data consistency and integrity.

Syllabus

  • Lesson 1: Deep Dive with Pandas into the California Housing Dataset
  • Lesson 2: Strategies for Treatment of Missing Data in Predictive Modeling
  • Lesson 3: Navigating through Data Anomalies: Outliers Detection and Treatment
  • Lesson 4: Feature Selection Methods for Predictive Modeling
  • Lesson 5: Mastering Feature Normalization for Predictive Accuracy

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