Practical Machine Learning
Completed by Nouamane Benbrahim
February 9, 2016
8 hours (approximately)
Nouamane Benbrahim'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: Regression Analysis
- Category: Random Forest Algorithm
- Category: Supervised Learning
- Category: Classification Algorithms
- Category: Model Training
- Category: Predictive Modeling
- Category: Machine Learning Software
- Category: Model Evaluation
- Category: R Programming
- Category: Applied Machine Learning
- Category: Machine Learning
