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Overview
This focused course provides a practical introduction to logistic regression using R Studio, one of the most widely used statistical tools in data science. Youâll learn to model binary outcomes, interpret coefficients, evaluate model performance with confusion matrices and ROC curves, and prepare datasets for regression analysis. With hands-on labs using real data, you'll gain experience applying statistical techniques in R, performing diagnostics, and visualizing relationships. Ideal for data analysts, students, and professionals working in healthcare, marketing, or social sciences,...
Syllabus
- Introduction
- Basics of Statistics
- Getting started with R and R studio
- Introduction to Machine Learning
- Data Preprocessing
- Classification Models
- Linear Discriminant Analysis (LDA)
- Test-Train Split
- K-Nearest Neighbors classifier
- Understanding the Results
- Appendix 1: Linear Regression in R
- Congratulations & about your certificate
Instructor
Start-Tech Academy
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