Practical Machine Learning
Completed by Dante Degl'Innocenti
March 15, 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: Random Forest Algorithm
- Category: Applied Machine Learning
- Category: Classification Algorithms
- Category: Regression Analysis
- Category: R Programming
- Category: Machine Learning Algorithms
- Category: Machine Learning
- Category: Model Evaluation
- Category: Machine Learning Methods
- Category: Predictive Modeling
- Category: Data Preprocessing
- Category: Feature Engineering
