Practical Machine Learning
Completed by Daniel DeWaters
December 16, 2019
8 hours (approximately)
Daniel DeWaters'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: Statistical Machine Learning
- Category: Predictive Analytics
- Category: Feature Engineering
- Category: Classification Algorithms
- Category: Random Forest Algorithm
- Category: Data Preprocessing
- Category: Data Wrangling
- Category: Model Evaluation
- Category: Supervised Learning
- Category: Regression Analysis
- Category: Machine Learning Algorithms
- Category: Applied Machine Learning
