Practical Machine Learning
Completed by pascal david pierrot
March 17, 2016
8 hours (approximately)
pascal david pierrot'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: Data Preprocessing
- Category: Model Training
- Category: Predictive Analytics
- Category: Regression Analysis
- Category: Applied Machine Learning
- Category: Classification And Regression Tree (CART)
- Category: R Programming
- Category: Predictive Modeling
- Category: Random Forest Algorithm
- Category: Model Evaluation
- Category: Machine Learning Methods
- Category: Supervised Learning
