Introduction
  • Introduction to the Course
The Business Problem
  • Understanding the Business Problem
  • Knowledge Check (Business Problem)
Installation of R and R studio.
  • Installation of R and R studio.
Data Collection
  • Data discovery and collection
  • Resources
  • Knowledge Check (Data Collecttion)
Data Preparartion
  • Uni-Variate analysis
  • Feature Engineering
  • Bi-Variate Analysis
  • Hypothesis Testing
  • Dummy Variable, Dimension Reduction and Data Split
  • Knowledge Check (Data Preparartion)
Model Building
  • Model Selection
  • Logistic Regression
  • Logistic Regression Model building in R
  • Knowledge Check (Model Building)
Model Evaluation
  • Goodness of Fit Test
  • Classifier Performance - ROC & AUC
  • Accuracy and Cut-off
  • Knowledge Check (Model Evaluation)
Conclusion
  • Insights
  • Final Test