Practical Machine Learning
Completed by Sarah Smolenski
March 18, 2019
8 hours (approximately)
Sarah Smolenski'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 And Regression Tree (CART)
- Category: Machine Learning Algorithms
- Category: Machine Learning Methods
- Category: Supervised Learning
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Classification Algorithms
- Category: Predictive Analytics
- Category: Model Evaluation
- Category: Machine Learning Software
- Category: R Programming
- Category: Predictive Modeling
