在这个项目中，我们创建了一个系统，允许我们从诊断患者的数据库中预测心脏病患者。这是通过使用机器学习技术和应用PCA方法进行数据处理，并通过KNN算法准备收集的数据进行分类来实现的，这使得我们能够实现97.83%的准确率。
in this project we create a system that allows us to predict cardiac patients from a database of diagnosed patients. This was achieved by using machine learning techniques and applying the PCA method for data processing and preparing the collected data for classification by the KNN algorithm, which allowed us to achieve an accuracy of 97.83%. (2024-01-08, Python, 0KB, 下载0次)
recommend now (rec_now) 是一个推荐算法的基础库,目的在于简化推荐模型的开发。 本项目基于tensorflow2和python3实现,兼容使用tensorflow1.x API的[无量训练框架]([https: ...](https: git.woa.com deep_learning_framework NumerousTensorFlow\)%EF%BC%8C%E5%B9%B6%E5%9C%A8%E7%94%9F%E4%BA%A7%E7%8E%AF%E5%A2%83%E4%B8%AD%E5%BE%97%E5%88%B0%E4%BA%86%E5%85%85%E5%88%86%E9%AA%8C%E8%AF%81%E3%80%82)
Recommendation now (rec_now) is a basic library of recommendation algorithms aimed at simplifying the development of recommendation models. This project is implemented based on TensorFlow2 and Python 3, and is compatible with the TensorFlow1. x API s [Infinite Training Framework] ([https:...] (https: git.woa. com deep_learning_framework NumerousTensorFlow )% EF% BC% 8C% E5% B9% B6% E5% 9C% A8% E7% 94% 9F% E4% BA% A7% E7% 8E% AF% E5% A2% 83% E4% B8% AD% E5% BE% 97% E5% 88% B0% E4% BA% 86% E5% 85% 85% E5% 88% 86% E9% AA% 8C% E8% AF% 81% E3% 80% 82) (2023-06-03, Python, 83KB, 下载0次)
LeetCode，解决方案<http://www.calvinneo.com 2017 02 09 LeetCode%E8%A7%A3%E9%A2%98%E6%8A%A5%E5%91%8A>
LeetCode，解决方案<http://www.calvinneo.com 2017 02 09 LeetCode%E8%A7%A3%E9%A2%98%E6%8A%A5%E5%91%8A> (2020-11-06, Python, 397KB, 下载0次)