Practical Machine Learning
Completed by Gregory Michalopoulos
April 19, 2016
8 hours (approximately)
Gregory Michalopoulos'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: Predictive Analytics
- Category: Regression Analysis
- Category: Machine Learning Methods
- Category: Supervised Learning
- Category: Classification Algorithms
- Category: Machine Learning
- Category: Model Training
- Category: Machine Learning Algorithms
- Category: Applied Machine Learning
- Category: Data Preprocessing
- Category: Machine Learning Software
- Category: Model Evaluation
