Practical Machine Learning
Completed by Benedict Neo Yao En
January 25, 2021
8 hours (approximately)
Benedict Neo Yao En'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: Data Preprocessing
- Category: Machine Learning Software
- Category: R Programming
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Supervised Learning
- Category: Classification And Regression Tree (CART)
- Category: Model Evaluation
- Category: Machine Learning Methods
- Category: Predictive Analytics
- Category: Classification Algorithms
- Category: Model Training
