Practical Machine Learning
Completed by Nathan John Sowatskey
February 23, 2017
8 hours (approximately)
Nathan John Sowatskey'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: Model Training
- Category: Machine Learning Algorithms
- Category: Supervised Learning
- Category: Classification Algorithms
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Predictive Analytics
- Category: Model Evaluation
- Category: Predictive Modeling
- Category: Data Preprocessing
- Category: Machine Learning Methods
