• 1
• 0
• 1

FreddieJohn/idrlnet

Python

forked from zweien/idrlnet

• 1
• 0
• 1

FreddieJohn/machine_learning_in_action_py3 forked from sunnyzq/machine_learning_in_action_py3

Important book about the machine learning algorithms, and introduces the application of those who use these algorithms and tools, and how to use them in a real environment. This book and other books, behind the other books are long on machine learning theory knowledge, the book happened to be more discussion on how to use coded machine learning algorithms.

• 1
• 0
• 72

FreddieJohn/ustc_cyber_security forked from yssickjgd/ustc_cyber_security

中国科学技术大学网络空间安全学院学习资料共享

• 1
• 0
• 10

FreddieJohn/pdfo

Python

forked from PDFO/pdfo

Powell 无导数优化求解器。可求解黑箱优化，用于机器学习超参数调节。详情见项目主页 https://www.pdfo.net 。

• 1
• 0
• 1

FreddieJohn/Intrusing-Detection-System-Attack forked from wszhs/Intrusing-Detection-System-Attack

• 1
• 0
• 1

FreddieJohn/adversarial-attack-on-IDS forked from wszhs/adversarial-attack-on-IDS

• 1
• 0
• 2

FreddieJohn/BARS forked from 三个小小道/BARS

• 1
• 0
• 1

FreddieJohn/alibi-detect forked from mirrors_SeldonIO/alibi-detect

• 1
• 0
• 3

FreddieJohn/贝叶斯超参数寻优-qaia forked from 郭艺磊/贝叶斯超参数寻优-qaia

贝叶斯优化超参数寻优

• 1
• 0
• 1

FreddieJohn/机器学习

Python

forked from 钟晓威/机器学习

1、使用爬取、复制或者从特定网站（Kaggle、天池等）、机器学习库获取数据集。 2、根据题目需要对数据字段进行清洗或预处理操作，对于特征值多的数据集，考虑先进行特征选择。 3、根据实际需求选择机器学习算法建立模型，以解决实际问题，如分类问题、回归问题、聚类问题等，要求能通过调整模型的超参数/参数或者使用优化算法，提高模型的泛化性能。 4、有对特征数据的可视化展示。