- Model Evaluation
- Statistical Modeling
- Classification Algorithms
- R Programming
- Statistical Analysis
- Predictive Modeling
- Machine Learning Algorithms
- Unsupervised Learning
- Data Science
- Supervised Learning
- Regression Analysis
- Statistical Methods
Regression and Classification
Completed by Samuel Juarez
July 3, 2023
34 hours (approximately)
Samuel Juarez'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
