Practical Machine Learning
Completed by Sean Michael Fields
May 4, 2017
8 hours (approximately)
Sean Michael Fields'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: Applied Machine Learning
- Category: Regression Analysis
- Category: Model Evaluation
- Category: Predictive Modeling
- Category: Machine Learning Methods
- Category: Machine Learning
- Category: Model Training
- Category: Feature Engineering
- Category: Data Preprocessing
- Category: Classification And Regression Tree (CART)
- Category: Machine Learning Software
- Category: Random Forest Algorithm
