Data Science Advanced Course

$1,500.00 excludes Tax

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Description

  • Introduction and business scenario
  • Loading data and summary statistics
  • Visualising data
  • Advanced data preparation, joins
  • Feature generation and feature engineering
  • Support Vector Machines
  • Neural Networks
  • Logistic Regression
  • Advanced performance criteria
  • ROC Plots
  • Comparison between Models
  • Feature Selection: Forward Selection, Backward Elimination
  • Principal Components Analysis
  • Performance (Cost) Model Optimization
  • Outlier Detection

Additional information

Delivery options

Point/click with RapidMiner, Code with R

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