Regression and Classification
Completed by Jimut Pal
May 13, 2026
34 hours (approximately)
Jimut Pal's account is verified. Coursera certifies their successful completion of Regression and Classification
What you will learn
Express why Statistical Learning is important and how it can be used.
Identify the strengths, weaknesses and caveats of different models and choose the most appropriate model for a given statistical problem.
Determine what type of data and problems require supervised vs. unsupervised techniques.
Skills you will gain
- Category: R Programming
- Category: Machine Learning
- Category: Classification Algorithms
- Category: Supervised Learning
- Category: Model Evaluation
- Category: Statistical Methods
- Category: Statistical Inference
- Category: Unsupervised Learning
- Category: Classification And Regression Tree (CART)
- Category: Logistic Regression
- Category: Statistical Analysis
- Category: Statistical Machine Learning
