Practical Machine Learning
Completed by Hugo Andrés Dorado Betancourt
January 30, 2017
8 hours (approximately)
Hugo Andrés Dorado Betancourt'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: Applied Machine Learning
- Category: Regression Analysis
- Category: Classification Algorithms
- Category: R Programming
- Category: Machine Learning Algorithms
- Category: Machine Learning
- Category: Machine Learning Methods
- Category: Data Preprocessing
- Category: Feature Engineering
- Category: Predictive Modeling
- Category: Model Evaluation
- Category: Random Forest Algorithm
