Tech Fixx · Video
Data Preprocessing for AI: Clean, Transform & Prepare a Dataset
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Data preprocessing turns raw information into a form that a machine-learning workflow can use. This step-by-step overview explains the main cleaning and transformation decisions before model training.
You’ll learn: • How to inspect data quality and document assumptions • Handling missing values and duplicates • Correcting data types and inconsistent categories • Encoding categorical variables • Scaling numerical features • Avoiding data leakage • Splitting data for training, validation and testing
There is no single cleaning recipe for every dataset. Each decision should reflect the data source, task and real-world meaning of the values.
#DataPreprocessing #DataCleaning #MachineLearning