Practical Machine Learning
Completed by arnaud jaspart
July 6, 2017
8 hours (approximately)
arnaud jaspart'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 Modeling
- Category: Classification And Regression Tree (CART)
- Category: Random Forest Algorithm
- Category: Model Evaluation
- Category: Model Training
- Category: Machine Learning Software
- Category: Feature Engineering
- Category: Machine Learning Algorithms
- Category: Data Preprocessing
- Category: Supervised Learning
- Category: Machine Learning
