Practical Machine Learning
Completed by Avuyonke Balfour
December 16, 2024
8 hours (approximately)
Avuyonke Balfour's account is verified. Coursera certifies their successful completion of Practical Machine Learning
What you will learn
Use the basic components of building and applying prediction functions
Understand concepts such as training and tests sets, overfitting, and error rates
Describe machine learning methods such as regression or classification trees
Explain the complete process of building prediction functions
Skills you will gain
- Category: Applied Machine Learning
- Category: Machine Learning
- Category: Regression Analysis
- Category: R Programming
- Category: Classification And Regression Tree (CART)
- Category: Predictive Modeling
- Category: Machine Learning Software
- Category: Model Evaluation
- Category: Model Training
- Category: Machine Learning Algorithms
- Category: Supervised Learning
- Category: Classification Algorithms
