- Classification Algorithms
- Exploratory Data Analysis
- Applied Machine Learning
- Model Evaluation
- Data Wrangling
- Predictive Modeling
- Random Forest Algorithm
- Predictive Analytics
- Feature Engineering
- Supervised Learning
- Regression Analysis
- Data Preprocessing
Practical Machine Learning
Completed by Carlos Camargo Fiorillo
April 22, 2021
8 hours (approximately)
Carlos Camargo Fiorillo'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
