- Data Preprocessing
- Model Evaluation
- Scikit Learn (Machine Learning Library)
- Decision Tree Learning
- Classification And Regression Tree (CART)
- Random Forest Algorithm
- Machine Learning
- Data Science
- Data Visualization Software
- Data Cleansing
- Data Manipulation
- Applied Machine Learning
Machine Learning for Kyphosis Disease Classification
Completed by Joshua Benito F Macaranas Natividad
February 7, 2024
1 hours (approximately)
Joshua Benito F Macaranas Natividad's account is verified. Coursera certifies their successful completion of Machine Learning for Kyphosis Disease Classification
What you will learn
Understand the theory and intuition behind decision trees and random forest classifier models
Build, train and test a decision tree and random forest classifier models in Sklearn
Perform data cleaning, feature engineering and visualization
Skills you will gain
