Regression Analysis for Statistics & Machine Learning in R
Completed by José Pantoja Ballivián
October 29, 2024
10 hours (approximately)
José Pantoja Ballivián's account is verified. Coursera certifies their successful completion of Regression Analysis for Statistics & Machine Learning in R
What you will learn
Understand the principles of Ordinary Least Square (OLS) regression and its application in R.
Analyze and evaluate statistical and ML-based regression models to address issues like multicollinearity.
Apply techniques for variable selection and evaluate model accuracy using cross-validation methods.
Create and interpret Generalized Linear Models (GLMs), utilizing logistic regression as a binary classifier.
Skills you will gain
- Category: R (Software)
- Category: Statistical Machine Learning
- Category: Classification And Regression Tree (CART)
- Category: Statistical Programming
- Category: Logistic Regression
- Category: Data Cleansing
- Category: Random Forest Algorithm
- Category: Data Transformation
- Category: Model Training
- Category: Machine Learning Methods
- Category: R Programming
- Category: Model Evaluation
