使用 Python 的随机森林算法

上次更新时间：2024-11-10

课程售价: 2.9 元

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课程内容

1. Introduction

1. Introduction and Understanding of SONAR Dataset (免费)

2. Getting Started

1. Load a CSV File (免费)
2. Load a CSV File Continue
3. Split a dataset into k Folds
4. Evaluate an Algorithm using a Cross Validation Split
5. Calculate the Gini index for a Split Dataset
6. Select the Best Split Point for a Dataset

3. Node Value and Subsample

1. Create a Terminal Node Value
2. Build a Decision Tree
3. Create a Random Subsample
4. Random Forest Algorithm
5. Test the Random Forest Algorithm on Sonar Dataset
6. Evaluate Algorithm

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使用 Python 的随机森林算法

Random Forest Algorithm using Python

上次更新时间：2024-11-10 09:26

课程售价：2.9元

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课程内容

3个章节 , 13个讲座

1. Introduction

1. Introduction and Understanding of SONAR Dataset (免费)

2. Getting Started

1. Load a CSV File (免费)
2. Load a CSV File Continue
3. Split a dataset into k Folds
4. Evaluate an Algorithm using a Cross Validation Split
5. Calculate the Gini index for a Split Dataset
6. Select the Best Split Point for a Dataset

3. Node Value and Subsample

1. Create a Terminal Node Value
2. Build a Decision Tree
3. Create a Random Subsample
4. Random Forest Algorithm
5. Test the Random Forest Algorithm on Sonar Dataset
6. Evaluate Algorithm