Practical Machine Learning
Completed by Yelco Martinez Marin
October 30, 2019
8 hours (approximately)
Yelco Martinez Marin'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: R Programming
- Category: Data Preprocessing
- Category: Applied Machine Learning
- Category: Random Forest Algorithm
- Category: Machine Learning Algorithms
- Category: Machine Learning
- Category: Regression Analysis
- Category: Model Evaluation
- Category: Classification Algorithms
- Category: Predictive Modeling
- Category: Feature Engineering
- Category: Machine Learning Methods
