机器学习实战指南
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
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