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RSS订阅原创 python 自然语言处理NLP（Chapter 1）
本系列为学习《python 自然语言处理》这本书的笔记，其目的是便于以后查阅方便。Chapter 1 语言处理与python用的自然语言工具包是nltk，语言处理任务与相应NLTK模块以及功能描述如下：语言处理任务 NLTK模块 功能描述 获取语料库 nltk.corpus 语料库和词典的标准化接口 字符串处理 nltk.tokenize,nltk...
2019-08-30 17:23:05
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翻译 XGBClassifier 参数解释
from xgboost import XGBClassifierXGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1, colsample_bynode=1, colsample_bytree=1, gamma=0, learning_rate=0.1, max_delta_step...
2019-07-16 16:21:41
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原创 scikit-learn库中AdaBoost 和random forest 参数讲解
X：特征的数据集y：label的数据集from sklearn.ensemble import AdaBoostClassifierfrom sklearn.ensemble import AdaBoostRegressorAdaBoostClassifier(base_estimator=None,n_estimators=50,learning_rate=1.0,algo...
2019-03-20 15:36:12
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原创 Python Machine Learning Chapter 3 A Tour of ML Classifiers Using Scikit-learn 学习笔记
本帖是学习Sebastian Raschka 的《Python Machine Learning》做的笔记，便于需要时查看。Chapter 3 A Tour of Machine Learning Classifiers Using Scikit-learn including:Introduction to the concepts of popular classificati...
2019-03-15 16:20:13
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原创 Python Machine Learning Chapter 2 Training Machine Learning Algorithms for Classification 学习笔记
本帖是学习Sebastian Raschka 的《Python Machine Learning》做的笔记，便于需要时查看。Chapter 2 Training Machine Learning Algorithms for Classification including:building an intuition for machine learning algorithms usi...
2019-03-09 20:36:20
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原创 Python Machine Learning Chapter 1 Giving Computers the Ability to Learn from Data 学习笔记
本帖是学习Sebastian Raschka 的《Python Machine Learning》做的笔记，便于需要时查看。Chapter 1 Giving Computers the Ability to Learn from DataIn this chapter, including the following topics:1. the general concepts of...
2019-03-09 13:47:23
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