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Data Cleaning (First Step Always) — The Complete AI Engineer Roadmap
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Phase 2 – AI & Machine Learning & Deep Learning & Data Science fundamentalsData Preparation

Data Cleaning (First Step Always)

2.5 · Data Preparation

What You'll Learn

0 / 5 Completed
Handling missing values (drop, fill, interpolate)
Removing duplicates
Fixing incorrect data types (string → number/date)
Detecting and treating outliers
Cleaning inconsistent labels (e.g., Male/male/M)
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