本文提供了一个从理论到实践的机器学习流程，介绍了如何使用K近邻算法、AdaBoost及随机森林等模型，并通过sklearn库进行部署。文章指导读者完成从研究到应用的全过程，包括获取初步理解、查找文档资源、动手实现示例代码、对测试集进行预测并评估准确性。
K-nearest neighbors
AdaBoost
random forest
Process
1)do some research! get a general understanding!
2)find sklearn documentation
3)deploy it!! get your hands dirty,exercise the example
4)make some predictions about the test set.
5)and then,you use those predictions to e aluate it.What's the accuracy on the test set?
REMEMBER:
The thing that separates the good ones from the great ones,is ery ofter that they're able to go out and learn something new,and this is your chance to do that
扫一扫
被折叠的 条评论
为什么被折叠?
到【灌水乐园】发言
