Practical Machine Learning
Completed by Isaac Mabillard
May 22, 2017
8 hours (approximately)
Isaac Mabillard'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: Predictive Analytics
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: R Programming
- Category: Classification Algorithms
- Category: Supervised Learning
- Category: Machine Learning
- Category: Model Training
- Category: Data Preprocessing
- Category: Feature Engineering
- Category: Classification And Regression Tree (CART)
- Category: Machine Learning Methods
