What you’ll learn

  • Understand how to interpret the result of Logistic Regression model and translate them into actionable insight
  • Learn the linear discriminant analysis and K-Nearest Neighbors technique in R studio
  • Learn how to solve real life problem using the different classification techniques
  • Preliminary analysis of data using Univariate analysis before running classification model
  • Predict future outcomes basis past data by implementing Machine Learning algorithm
  • Indepth knowledge of data collection and data preprocessing for Machine Learning logistic regression problem
  • Course contains a end-to-end DIY project to implement your learnings from the lectures
  • Graphically representing data in R before and after analysis
  • How to do basic statistical operations in R