- Data Preprocessing
- R Programming
- Predictive Analytics
- Predictive Modeling
- Exploratory Data Analysis
- Data Wrangling
- Regression Analysis
- Random Forest Algorithm
- Machine Learning
- Model Evaluation
- Supervised Learning
- Machine Learning Algorithms
Practical Machine Learning
Completed by Yaroslav Zhyliuk
June 3, 2022
8 hours (approximately)
Yaroslav Zhyliuk'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
