Practical Machine Learning
Completed by Michael Richard Meitzner
June 27, 2018
8 hours (approximately)
Michael Richard Meitzner'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 Modeling
- Category: Random Forest Algorithm
- Category: Regression Analysis
- Category: Supervised Learning
- Category: Model Training
- Category: Model Evaluation
- Category: Classification And Regression Tree (CART)
- Category: Classification Algorithms
- Category: R Programming
- Category: Machine Learning Methods
- Category: Applied Machine Learning
- Category: Machine Learning
