- Data Wrangling
- Feature Engineering
- Machine Learning
- Machine Learning Algorithms
- Statistical Machine Learning
- Classification Algorithms
- Applied Machine Learning
- Exploratory Data Analysis
- R Programming
- Random Forest Algorithm
- Data Preprocessing
- Supervised Learning
Practical Machine Learning
Completed by Jeremy Eduardo Andres Jerez Barona
October 1, 2022
8 hours (approximately)
Jeremy Eduardo Andres Jerez Barona'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
