- Predictive Modeling
- Machine Learning Algorithms
- R Programming
- Regression Analysis
- Classification Algorithms
- Predictive Analytics
- Machine Learning
- Data Preprocessing
- Data Wrangling
- Exploratory Data Analysis
- Feature Engineering
- Random Forest Algorithm
Practical Machine Learning
Completed by Sunil Samson S
October 17, 2020
8 hours (approximately)
Sunil Samson S'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
