How do I clean and preprocess data for machine learning?Dec 17, 2024

I’ve collected a dataset but it’s messy and incomplete. What steps should I take to clean and preprocess my data before training a machine learning model?

Data ScienceMachine Learning
Answers (1)
Harun KaranjaDec 17, 2024
  • Handle missing values: Use imputation methods (e.g., mean/median for numerical data).
  • Remove duplicates: Identify and remove redundant data.
  • Normalize/Standardize: Scale numerical features for uniformity.
  • Convert categorical data: Use one-hot encoding or label encoding.
  • Outlier handling: Use statistical methods to identify and treat outliers.
    Tools like pandas in Python are great for preprocessing datasets.

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