ssxjss's starred repositories
Forecasting-Time-Series-Data-with-Facebook-Prophet
Forecasting Time-Series Data with Facebook Prophet, published by Packt
InterpretableMLBook
《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版
CausalInferenceIntro
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
notes-on-causal-inference
Some notes on Causal Inference, with examples in python
machine_learning_derivation
notes of machine learning algorithm derivation
machine_learning
树模型、SVD、李航《统计学习方法》、机器学习算法实现 by Numpy/Pandas/Tensorflow2 重构中...
Machine_Learning_Materials_to_Follow
Machine Learning Materials
causalimpact
Python port of CausalImpact R library
book-ml-sem
《机器学习：软件工程方法与实现》Method and implementation of machine learning software engineering
SyntheticControlMethods
A Python package for causal inference using Synthetic Controls
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
ML_Practice
ML Records in 1110 Lab of BUPT. Some detailed information can be referenced on: https://mathpretty.com/10388.html
mlinsights
Extends scikit-learn with new models, transformers, metrics, plotting.
TextAnalysis
基于java中文语义分析（jieba+word2vec+libsvm）
Chinese-Word-Vectors
100+ Chinese Word Vectors 上百种预训练中文词向量
Research-report-Classification-system
爬取东方财富的宏观研究的研报，基于LSTM进行情感分析，分类为正向、负向和中性三类
Financial_Analysis
基于分布式爬虫，采集互联网公开来源的金融类新闻和文档类文本； 基于文本挖掘技术，进行无监督/半监督学习的数据ETL与特征工程； 基于金融数据挖掘技术，进行宏观经济分析，基本面分析与行业分析
Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
SocialListening
依据香港中文大学设计的规则系统，先用小样本评论建立初始关键词库，再结合18种句式逐条匹配评论，能够快速准确地识别评论对象及情感极性。经多次迭代优化关键词库后，达到较高准确率的基础上，使用Tableau进一步分析数据，识别出客户集中关注的商品属性、普遍好评差评的商品属性；通过与同类商品竞品分析，识别出商品的优缺点，画出商品属性特征风险区、改进区、保持区和低人气区分布图；最终撰写分析报告，供电商经营参考。
Sentiment-Analysis-Opinion-Mining
Sentiment analysis of Yelp reviews
OpinionMining728
Machine Learning Projects which performs the opinion mining on hotel reviews
OpinionMining-of-DigitalProductReviews
This is an assignment project of AI Principle Course 2016 in Tsinghua University. We conduct a rule-based methed on the dataset of digital product reviews to extract the opinions of these reviews.