Practical Machine Learning
Completed by Eleanor Claire Rosemary Durant
November 16, 2016
8 hours (approximately)
Eleanor Claire Rosemary Durant'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: Predictive Analytics
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Classification And Regression Tree (CART)
- Category: Classification Algorithms
- Category: Machine Learning Methods
- Category: Supervised Learning
- Category: Predictive Modeling
- Category: Model Evaluation
- Category: Machine Learning Software
- Category: Data Preprocessing
- Category: Feature Engineering
