Data Science Python

Course Content

Total learning: 23 lessons Time: 10 weeks

Part-5: Data Validation Data Normality

Part-10: Predictive modelling & Diagnostics

  • Correlation
  • SLR Regression
  • MLR Regression
  • Examination Residual analysis
  • Auto Correlation
  • Test of ANOVA Significant
  • VIF Analysis
  • Test of Ttest Significant
  • CP Indexing
  • Eigen Value for PCA Analysis
  • Homoscedasticity
  • Heteroskedasticity
  • Stepwise regression
  • Forward Regression
  • Backward Regression
  • Multicollinearity
  • Cross validation
  • MAPE
  • Check prediction accuracy
  • Standardized regression
  • Quadraint Regression
  • Transformed Regression
  • Dummy Variables Regression

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