Practical Machine Learning
Completed by Antonio Rubio Calzado
May 30, 2017
8 hours (approximately)
Antonio Rubio Calzado'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: Classification Algorithms
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Supervised Learning
- Category: R Programming
- Category: Model Evaluation
- Category: Predictive Modeling
- Category: Classification And Regression Tree (CART)
- Category: Machine Learning
- Category: Machine Learning Methods
- Category: Model Training
- Category: Machine Learning Algorithms
