Logistic Regression in R Studio

Course Overview

• Course Title: Logistic Regression in R Studio
• Instructor: Start-Tech Academy
• Target Audience:
  • Business managers
  • Executives
  • Students interested in machine learning
• Prerequisites:
  • Installation of R and R Studio software

Curriculum Highlights

• Key Topics Covered:
  • Basics of Statistics
  • R Basic
  • Introduction to Machine Learning
  • Data Pre-processing
  • Classification Models
  • Logistic Regression
  • Linear Discriminant Analysis
  • K-Nearest Neighbors (KNN)
• Key Skills Learned:
  • Interpreting Logistic Regression model results
  • Linear Discriminant Analysis and K-Nearest Neighbors technique in R Studio
  • Solving real-life problems using classification techniques
  • Preliminary data analysis using Univariate analysis
  • Predicting future outcomes using Machine Learning algorithms
  • Data collection and data preprocessing
  • End-to-end DIY project
  • Graphically representing data in R
  • Basic statistical operations in R

Course Format

• Duration: 6 hours on-demand video
• Format: Self-paced online course
• Resources:
  • Assignments
  • 19 articles
  • 29 downloadable resources
  • Access on mobile and TV
  • Certificate of completion

Special Offer (If Applicable)

• Limited Time Coupon Code: N/A