Pinned Repositories
causalml
Uplift modeling and causal inference with machine learning algorithms
dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
go
The Go programming language
TextInfoExp
自然语言处理实验（sougou数据集），TF-IDF，文本分类、聚类、词向量、情感识别、关系抽取等
weibo-analysis-and-visualization
使用python抓取微博数据并对微博文本分析和可视化，LDA（树图）、关系图、词云、时间趋势（折线图）、热度地图、词典情感分析（饼图和3D柱状图）、词向量神经网络情感分析、tfidf聚类、词向量聚类、关键词提取、文本相似度分析等
maogouji58's Repositories
maogouji58/causalml
Uplift modeling and causal inference with machine learning algorithms
maogouji58/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
maogouji58/go
The Go programming language
maogouji58/TextInfoExp
自然语言处理实验（sougou数据集），TF-IDF，文本分类、聚类、词向量、情感识别、关系抽取等
maogouji58/weibo-analysis-and-visualization
使用python抓取微博数据并对微博文本分析和可视化，LDA（树图）、关系图、词云、时间趋势（折线图）、热度地图、词典情感分析（饼图和3D柱状图）、词向量神经网络情感分析、tfidf聚类、词向量聚类、关键词提取、文本相似度分析等