Practical Machine Learning
Completed by OZER OZYURT
April 21, 2022
8 hours (approximately)
OZER OZYURT'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: Random Forest Algorithm
- Category: Supervised Learning
- Category: Applied Machine Learning
- Category: R Programming
- Category: Machine Learning Algorithms
- Category: Predictive Modeling
- Category: Model Evaluation
- Category: Machine Learning Software
- Category: Classification And Regression Tree (CART)
- Category: Classification Algorithms
- Category: Machine Learning
- Category: Machine Learning Methods
