- Feature Engineering
- Model Evaluation
- Supervised Learning
- Predictive Modeling
- Statistical Machine Learning
- Random Forest Algorithm
- Classification Algorithms
- R Programming
- Regression Analysis
- Machine Learning Algorithms
- Data Wrangling
- Machine Learning
Practical Machine Learning
Completed by Javier Guillermo Chang
October 27, 2020
8 hours (approximately)
Javier Guillermo Chang'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
