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: Machine Learning Algorithms
- Category: Statistical Machine Learning
- Category: Predictive Analytics
- Category: Feature Engineering
- Category: Data Preprocessing
- Category: Regression Analysis
- Category: Data Wrangling
- Category: Model Evaluation
- Category: Exploratory Data Analysis
- Category: R Programming
- Category: Predictive Modeling
- Category: Machine Learning
