Practical Machine Learning
Completed by Gerald Cantor
September 12, 2017
8 hours (approximately)
Gerald Cantor'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: Model Training
- Category: Supervised Learning
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Predictive Analytics
- Category: Random Forest Algorithm
- Category: Machine Learning
- Category: Machine Learning Algorithms
- Category: R Programming
- Category: Model Evaluation
- Category: Classification And Regression Tree (CART)
