Practical Machine Learning
Completed by Benjamin Rafael Schleich
November 9, 2016
8 hours (approximately)
Benjamin Rafael Schleich'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: Model Training
- Category: Classification Algorithms
- Category: Model Evaluation
- Category: Feature Engineering
- Category: Regression Analysis
- Category: Random Forest Algorithm
- Category: Machine Learning
- Category: Predictive Analytics
- Category: Supervised Learning
- Category: Classification And Regression Tree (CART)
- Category: Machine Learning Algorithms
- Category: Machine Learning Methods
