Practical Machine Learning
Completed by ANDREI PAZNIAK
March 2, 2016
8 hours (approximately)
ANDREI PAZNIAK'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: Predictive Analytics
- Category: Random Forest Algorithm
- Category: Feature Engineering
- Category: Machine Learning Algorithms
- Category: Machine Learning
- Category: Model Training
- Category: Regression Analysis
- Category: Data Preprocessing
- Category: Classification And Regression Tree (CART)
- Category: Machine Learning Methods
- Category: Supervised Learning
