Practical Machine Learning
Completed by Benedict Neo Yao En
January 25, 2021
8 hours (approximately)
Benedict Neo Yao En'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
- Category: Classification And Regression Tree (CART)
- Category: Predictive Modeling
- Category: Feature Engineering
- Category: Regression Analysis
- Category: Applied Machine Learning
- Category: Machine Learning
- Category: Model Training
- Category: Model Evaluation
- Category: Supervised Learning
- Category: Predictive Analytics
- Category: Machine Learning Methods
- Category: Random Forest Algorithm
