- Machine Learning
- Statistical Machine Learning
- Supervised Learning
- Random Forest Algorithm
- Data Preprocessing
- Regression Analysis
- Predictive Analytics
- Predictive Modeling
- Exploratory Data Analysis
- Applied Machine Learning
- Model Evaluation
- R Programming
Practical Machine Learning
Completed by Nathan West
April 18, 2020
8 hours (approximately)
Nathan West'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
