Python libraries

• Pandas

• Numpy

• Exploratory data analysis

• Data visualization

• Big data

• Data mining

• Network analysis

• Kaggle checklist

  • Preprocessing: EDA, normalization, filling null values, etc
  • Feature engineering: building new features from the base ones, adding polynomial features, etc
  • Mode training: trai
  • CV testing: cross-validation tests to give estimate of test error
  • Ensembling: combine a series of different/diverse models to get better performance