Practical Machine Learning
Completed by Cristin Kalinowski
February 16, 2021
8 hours (approximately)
Cristin Kalinowski'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 Software
- Category: Model Evaluation
- Category: Predictive Modeling
- Category: R Programming
- Category: Machine Learning Algorithms
- Category: Data Preprocessing
- Category: Feature Engineering
- Category: Machine Learning Methods
- Category: Machine Learning
- Category: Regression Analysis
- Category: Model Training
- Category: Classification And Regression Tree (CART)
