Practical Machine Learning
Completed by Kristin de Jonge
October 31, 2018
8 hours (approximately)
Kristin de Jonge'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
- Category: Machine Learning Algorithms
- Category: R Programming
- Category: Classification Algorithms
- Category: Machine Learning Methods
- Category: Data Preprocessing
- Category: Feature Engineering
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Random Forest Algorithm
- Category: Model Evaluation
- Category: Predictive Modeling
