Practical Machine Learning
Completed by Aleksa Lakic
May 24, 2020
8 hours (approximately)
Aleksa Lakic'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: Supervised Learning
- Category: Classification Algorithms
- Category: Machine Learning Algorithms
- Category: Model Training
- Category: Machine Learning Methods
- Category: Random Forest Algorithm
- Category: Machine Learning Software
- Category: Model Evaluation
- Category: Machine Learning
- Category: R Programming
