Practical Machine Learning
Completed by Aaron Charles Cooper
February 4, 2016
8 hours (approximately)
Aaron Charles Cooper'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: Classification And Regression Tree (CART)
- Category: Machine Learning Methods
- Category: Machine Learning Software
- Category: Feature Engineering
- Category: Classification Algorithms
- Category: Model Training
- Category: Supervised Learning
- Category: Regression Analysis
- Category: Predictive Analytics
- Category: Model Evaluation
- Category: Predictive Modeling
- Category: Data Preprocessing
