Practical Machine Learning
Completed by Umar Hajam
February 27, 2020
8 hours (approximately)
Umar Hajam'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: Machine Learning
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Predictive Analytics
- Category: Model Evaluation
- Category: Classification And Regression Tree (CART)
- Category: Predictive Modeling
- Category: Classification Algorithms
- Category: Supervised Learning
- Category: R Programming
- Category: Machine Learning Methods
- Category: Model Training
