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  • ARIMA/SARIMA with Python
  • Train-Test split and Cross-validation
  • Feature Selection: Filter method, Wrapper method and Embedded method
  • Handling Missing Values in Python
  • Time series Cross-validation and Forecasting Accuracy
  • Handling Outliers in Python
  • Confusion Matrix, Accuracy, Precision, Recall, F score explained with an example
  • Logistic Regression
  • Scales of Measurement - Data types: Nominal, Ordinal, Interval and Ratio scale
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