Practical Machine Learning
Completed by Nicolás Ernesto Kuzminski
February 14, 2019
8 hours (approximately)
Nicolás Ernesto Kuzminski'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 Algorithms
- Category: Random Forest Algorithm
- Category: Feature Engineering
- Category: Model Training
- Category: Predictive Modeling
- Category: Machine Learning Software
- Category: Predictive Analytics
- Category: Machine Learning Methods
- Category: Data Preprocessing
- Category: Supervised Learning
- Category: Model Evaluation
- Category: Classification Algorithms
