Practical Machine Learning
Completed by Aaron Williams
August 8, 2016
8 hours (approximately)
Aaron Williams'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 And Regression Tree (CART)
- Category: Applied Machine Learning
- Category: Machine Learning Methods
- Category: Model Evaluation
- Category: Model Training
- Category: Machine Learning
- Category: Supervised Learning
- Category: Data Preprocessing
- Category: R Programming
- Category: Regression Analysis
- Category: Random Forest Algorithm
- Category: Classification Algorithms
