- Machine Learning Algorithms
- Predictive Analytics
- Statistical Machine Learning
- Regression Analysis
- Classification Algorithms
- Model Evaluation
- Feature Engineering
- Data Wrangling
- Machine Learning
- Exploratory Data Analysis
- R Programming
- Data Preprocessing
Practical Machine Learning
Completed by Kara C. Hoover
June 12, 2021
8 hours (approximately)
Kara C. Hoover'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
