Practical Machine Learning
Completed by Gregory Lee Edgerton
February 2, 2017
8 hours (approximately)
Gregory Lee Edgerton'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: Model Training
- Category: Machine Learning Algorithms
- Category: Classification And Regression Tree (CART)
- Category: Data Preprocessing
- Category: Machine Learning Software
- Category: Model Evaluation
- Category: Predictive Modeling
- Category: Machine Learning
- Category: Regression Analysis
- Category: Machine Learning Methods
- Category: Supervised Learning
