Practical Machine Learning
Completed by Daniel Wolff
May 2, 2016
8 hours (approximately)
Daniel Wolff'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: Model Evaluation
- Category: Machine Learning Software
- Category: Predictive Modeling
- Category: Machine Learning Algorithms
- Category: Model Training
- Category: Supervised Learning
- Category: Classification Algorithms
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Machine Learning
- Category: Classification And Regression Tree (CART)
- Category: Machine Learning Methods
