Practical Machine Learning
Completed by Tim Alexander Kuttig
July 7, 2019
8 hours (approximately)
Tim Alexander Kuttig'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: Machine Learning Methods
- Category: Feature Engineering
- Category: Data Preprocessing
- Category: Applied Machine Learning
- Category: Predictive Analytics
- Category: Regression Analysis
- Category: Classification And Regression Tree (CART)
- Category: Supervised Learning
- Category: Machine Learning Algorithms
- Category: Random Forest Algorithm
- Category: R Programming
- Category: Machine Learning Software
