Practical Machine Learning
Completed by Anamaria Ahuis
March 25, 2017
8 hours (approximately)
Anamaria Ahuis'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: Predictive Modeling
- Category: Machine Learning Software
- Category: Machine Learning Methods
- Category: Supervised Learning
- Category: Classification Algorithms
- Category: Applied Machine Learning
- Category: Predictive Analytics
- Category: Regression Analysis
- Category: Feature Engineering
