Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
课程大纲
介绍
- Random Forest 特点和优势概述
- 了解决策树和集成方法
开始
- 设置库(Numpy、Pandas、Matplotlib 等)
- Random Forests中的分类和回归
- 用例和示例
实现 Random Forest
- 准备用于训练的数据集
- 训练机器学习模型
- 评估和提高准确性
调整 Random Forest 中的超参数
- 执行交叉验证
- 随机搜索和网格搜索
- 可视化训练模型性能
- 优化超参数
最佳实践和故障排除提示
摘要和后续步骤
要求
- 了解机器学习概念
- Python 编程经验
观众
- 数据科学家
- 软件工程师
14 小时
客户评论 (3)
The details and the presentation style.
Cristian Mititean - Accenture Industrial SS
课程 - Azure Machine Learning (AML)
Working from first principles in a focused way, and moving to applying case studies within the same day
Maggie Webb - Department of Jobs, Regions, and Precincts
课程 - Artificial Neural Networks, Machine Learning, Deep Thinking
That it was applying real company data. Trainer had a very good approach by making trainees participate and compete