Checklist DS

DS

checklist

• Checklist DS
• Pre-Processing

Pre-Processing

• Check for missing values
• Dropping of unwanted columns
• Removing the Noisy Data
  • Binning Method
  • Regression
  • Clustering
  • Outliers
• Check for Inconsistent values
• Check for categorical data
• Check for Duplicate values
• Feature Aggregation
• Feature Encoding (Encoding caegorical values or numeric values or text)
• Train / Validation / Test Split
• Data Transformation
  • Normalization
  • Attribute Selection
  • Discretization
  • Concept Hierarchy Generation
• Data Reduction
  • Data Cube Aggregation
  • Attribute Subset Selection
  • Numerosity Reduction
  • Dimensionality Reduction
• Feature engineering
• Skewness/Kurtosis
• Feature correlation
• Imbalance Dataset (Data imputation)
• Feature scaling
• Handling Dates
• Multicollinearity
• Feature selection
• Domain knowledge