- Model Evaluation
- Supervised Learning
- Machine Learning Algorithms
- Data Wrangling
- Classification Algorithms
- Feature Engineering
- Applied Machine Learning
- Machine Learning
- Regression Analysis
- Predictive Analytics
- Statistical Machine Learning
- Exploratory Data Analysis
Practical Machine Learning
Completed by ANDREA CATALINA BALLESTERO ALVAREZ
March 29, 2021
8 hours (approximately)
ANDREA CATALINA BALLESTERO ALVAREZ'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
