Practical Machine Learning
Completed by Pierre André Dodin
May 12, 2017
8 hours (approximately)
Pierre André Dodin'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: Applied Machine Learning
- Category: Regression Analysis
- Category: Predictive Analytics
- Category: Random Forest Algorithm
- Category: Machine Learning Methods
- Category: Machine Learning
- Category: Model Training
- Category: Machine Learning Algorithms
- Category: R Programming
- Category: Data Preprocessing
- Category: Classification And Regression Tree (CART)
- Category: Feature Engineering
