Practical Machine Learning
Completed by Jéssica Caroline Dias Nascimento
July 20, 2020
8 hours (approximately)
Jéssica Caroline Dias Nascimento'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: Model Evaluation
- Category: Predictive Modeling
- Category: Machine Learning
- Category: Machine Learning Algorithms
- Category: Data Preprocessing
- Category: Feature Engineering
- Category: Machine Learning Methods
- Category: R Programming
- Category: Classification Algorithms
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Random Forest Algorithm
