- Model Evaluation
- Supervised Learning
- Exploratory Data Analysis
- Applied Machine Learning
- Data Preprocessing
- Data Wrangling
- Random Forest Algorithm
- R Programming
- Regression Analysis
- Classification Algorithms
- Machine Learning Algorithms
- Machine Learning
Practical Machine Learning
Completed by maximillian ngoubi
May 15, 2025
8 hours (approximately)
maximillian ngoubi'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
