Practical Machine Learning
Completed by Simone Kraemer
March 2, 2018
8 hours (approximately)
Simone Kraemer'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: Classification Algorithms
- Category: Predictive Modeling
- Category: Random Forest Algorithm
- Category: Machine Learning
- Category: Supervised Learning
- Category: Model Training
- Category: Data Preprocessing
- Category: Regression Analysis
- Category: R Programming
- Category: Machine Learning Algorithms
- Category: Applied Machine Learning
- Category: Feature Engineering
