Practical Machine Learning
Completed by Igor Isaev
October 30, 2020
8 hours (approximately)
Igor Isaev'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: Classification Algorithms
- Category: Supervised Learning
- Category: R Programming
- Category: Predictive Analytics
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Model Evaluation
- Category: Classification And Regression Tree (CART)
- Category: Predictive Modeling
- Category: Machine Learning
- Category: Random Forest Algorithm
- Category: Feature Engineering
