What you'll learn
Apply Local Interpretable Model-agnostic Explanations (LIME) as a machine learning interpretation
Explain individual predictions being made by a trained machine learning model.
Add aspects for individual predictions in your Machine Learning applications.
Skills you'll practice
Machine Learning Methods
Machine Learning
Data Processing
Performance Measurement
Regression Analysis
Machine Learning Algorithms
Predictive Modeling
Random Forest Algorithm
Classification And Regression Tree (CART)
Exploratory Data Analysis
Applied Machine Learning
Feature Engineering
