Practical Machine Learning
Completed by Kimberly Hermans
May 11, 2016
8 hours (approximately)
Kimberly Hermans'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: Classification Algorithms
- Category: Supervised Learning
- Category: Predictive Modeling
- Category: Machine Learning Software
- Category: Model Evaluation
- Category: Random Forest Algorithm
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Predictive Analytics
