Practical Machine Learning
Completed by JOSE ANTONIO MARTINEZ PINEDA
February 3, 2016
8 hours (approximately)
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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: Supervised Learning
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Predictive Analytics
- Category: Random Forest Algorithm
- Category: Classification And Regression Tree (CART)
- Category: Machine Learning
- Category: Model Evaluation
- Category: Classification Algorithms
- Category: Predictive Modeling
- Category: R Programming
- Category: Machine Learning Software
