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Business Machine Learning/

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Solution: Train a Random Forest Model Using the Entropy Criteria

View the solution to the “Train a Random Forest Model Using the Entropy Criteria” exercise.

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Task
Solution
Explanation

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Course Introduction

Linear Regression

Regularization

Bias-Variance Trade-off

Categorical Features

Logistic Regression

Logistic Regression: Titanic Data

Sentiment Analysis Using Multinomial Logistic Regression

Multiclass Classification and Handling Imbalanced Classes

Project: Predicting Chronic Kidney Disease

K-Nearest Neighbors

Implementation of K-Nearest Neighbors

Logistic Regression vs. KNN

Decision Tree Learning

Implement the Decision Tree Classifier from Scratch

Bootstrapping and Confidence Interval

Support Vector Machine

Practice and Comparisons

What's Next?

Appendix

Solution: Train a Random Forest Model Using the Entropy Criteria