Practical Machine Learning
Completed by Kimberly Rosmus
January 31, 2018
8 hours (approximately)
Kimberly Rosmus'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: Machine Learning Methods
- Category: Data Preprocessing
- Category: Feature Engineering
- Category: Machine Learning Algorithms
- Category: Predictive Modeling
- Category: Supervised Learning
- Category: R Programming
- Category: Classification And Regression Tree (CART)
- Category: Classification Algorithms
- Category: Applied Machine Learning
- Category: Machine Learning
- Category: Regression Analysis
