- Machine Learning
- Applied Machine Learning
- Data Preprocessing
- Data Wrangling
- Model Evaluation
- Predictive Modeling
- Random Forest Algorithm
- Feature Engineering
- Machine Learning Algorithms
- Statistical Machine Learning
- Regression Analysis
- Exploratory Data Analysis
Practical Machine Learning
Completed by Markus Loidolt
January 3, 2021
8 hours (approximately)
Markus Loidolt'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
