- R Programming
- Machine Learning
- Data Preprocessing
- Exploratory Data Analysis
- Data Wrangling
- Predictive Modeling
- Machine Learning Algorithms
- Regression Analysis
- Supervised Learning
- Statistical Machine Learning
- Classification Algorithms
- Feature Engineering
Practical Machine Learning
Completed by Monica Della Rosa
October 14, 2023
8 hours (approximately)
Monica Della Rosa'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
