- Regression Analysis
- Data Wrangling
- Model Evaluation
- Data Preprocessing
- Predictive Analytics
- Supervised Learning
- Random Forest Algorithm
- Exploratory Data Analysis
- Feature Engineering
- Predictive Modeling
- Machine Learning
- Statistical Machine Learning
Practical Machine Learning
Completed by Claudia Edith Vasquez Mercedes
December 9, 2023
8 hours (approximately)
Claudia Edith Vasquez Mercedes'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
