Practical Machine Learning
Completed by Gino Sormani
December 24, 2018
8 hours (approximately)
Gino Sormani'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: Model Evaluation
- Category: Classification Algorithms
- Category: Machine Learning
- Category: Machine Learning Methods
- Category: Machine Learning Algorithms
- Category: Predictive Modeling
- Category: Data Preprocessing
- Category: Feature Engineering
- Category: Random Forest Algorithm
- Category: Applied Machine Learning
- Category: Regression Analysis
