- Model Evaluation
- Supervised Learning
- Data Wrangling
- Feature Engineering
- Statistical Machine Learning
- Applied Machine Learning
- Data Preprocessing
- Machine Learning Algorithms
- Classification Algorithms
- Machine Learning
- Random Forest Algorithm
- Predictive Analytics
Practical Machine Learning
Completed by Nuno Roberto
March 18, 2020
8 hours (approximately)
Nuno Roberto'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
