- Data Science
- Machine Learning
- Random Forest Algorithm
- Feature Engineering
- Decision Tree Learning
- Data Cleansing
- Applied Machine Learning
- Python Programming
- Predictive Modeling
- Model Evaluation
- Scikit Learn (Machine Learning Library)
- Classification And Regression Tree (CART)
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
