《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/FM/FFM)的原理讲解与python和类库实现
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Exercises answers to the book "machine-learning" written by Zhou Zhihua。周志华《机器学习》课后习题,个人解答。各算法都拿n...
手写实现李航《统计学习方法》书中全部算法
机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
机器学习原理
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework ...
《统计学习方法》笔记-基于Python算法实现
Basic Machine Learning and Deep Learning
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、...
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/...
An implementation of ML and DL algorithms from scratch in python using nothing but NumPy and Matp...
为机器学习的入门者提供多种基于实例的sklearn、TensorFlow以及自编函数(AnFany)的ML算法程序。
致力于将李航博士《统计学习方法》一书中所有算法实现一遍
Implementations of the machine learning algorithm with Python and numpy
This repo contains the files created for machine learning using python