Practical Machine Learning
Completed by Simon Monk
October 4, 2016
8 hours (approximately)
Simon Monk'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: Classification Algorithms
- Category: Supervised Learning
- Category: Classification And Regression Tree (CART)
- Category: Model Evaluation
- Category: Machine Learning Software
- Category: Machine Learning Methods
- Category: Machine Learning Algorithms
- Category: Machine Learning
- Category: Model Training
- Category: Random Forest Algorithm
