Practical Machine Learning
Completed by Dongfeng Lu
March 2, 2016
8 hours (approximately)
Dongfeng Lu'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: R Programming
- Category: Machine Learning
- Category: Regression Analysis
- Category: Model Training
- Category: Predictive Modeling
- Category: Machine Learning Software
- Category: Model Evaluation
- Category: Feature Engineering
- Category: Data Preprocessing
- Category: Machine Learning Methods
- Category: Machine Learning Algorithms
- Category: Applied Machine Learning
