Machine Learning for Kyphosis Disease Classification
Completed by Rhythm Bindal
February 22, 2022
1 hours (approximately)
Rhythm Bindal'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
- Category: Machine Learning Algorithms
- Category: Random Forest Algorithm
- Category: Classification And Regression Tree (CART)
- Category: Data Wrangling
- Category: Scikit Learn (Machine Learning Library)
- Category: Python Programming
- Category: Feature Engineering
- Category: Data Science
- Category: Data Cleansing
- Category: Data Preprocessing
- Category: Decision Tree Learning
- Category: Data Visualization Software
