- Model Evaluation
- Supervised Learning
- Predictive Modeling
- Machine Learning
- Statistical Machine Learning
- Statistical Methods
- Regression Analysis
- R Programming
- Data Science
- Machine Learning Algorithms
- Statistical Modeling
- Classification Algorithms
Regression and Classification
Completed by Srujana Palli
December 23, 2023
34 hours (approximately)
Srujana Palli'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
