- Data Processing
- Regression Analysis
- Predictive Analytics
- R Programming
- Machine Learning
- Machine Learning Algorithms
- Classification And Regression Tree (CART)
- Feature Engineering
- Predictive Modeling
- Data Collection
- Random Forest Algorithm
- Applied Machine Learning
Practical Machine Learning
Completed by Meet Bawankar
October 1, 2020
8 hours (approximately)
Meet Bawankar'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
