- Classification Algorithms
- Predictive Analytics
- Model Evaluation
- Predictive Modeling
- Machine Learning
- R Programming
- Data Wrangling
- Machine Learning Algorithms
- Regression Analysis
- Data Preprocessing
- Applied Machine Learning
- Feature Engineering
Practical Machine Learning
Completed by Artem Gamzin
June 29, 2023
8 hours (approximately)
Artem Gamzin'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
