- Predictive Modeling
- Classification And Regression Tree (CART)
- Random Forest Algorithm
- Feature Engineering
- Applied Machine Learning
- Regression Analysis
- Data Collection
- Predictive Analytics
- Supervised Learning
- R Programming
- Machine Learning
- Data Processing
Practical Machine Learning
Completed by Bhavinkumar Ashokkumar Patel
June 12, 2018
8 hours (approximately)
Bhavinkumar Ashokkumar Patel'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
