Practical Machine Learning
Completed by Sergey Ostrovsky
July 26, 2017
8 hours (approximately)
Sergey Ostrovsky'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: Predictive Analytics
- Category: Predictive Modeling
- Category: Data Preprocessing
- Category: Random Forest Algorithm
- Category: Machine Learning Algorithms
- Category: Machine Learning Software
- Category: Machine Learning Methods
- Category: Model Evaluation
- Category: Feature Engineering
- Category: Regression Analysis
- Category: R Programming
- Category: Machine Learning
