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alex-zhang148's Projects

customer_satisfaction_analysis icon customer_satisfaction_analysis

基于在线民宿UGC数据的意见挖掘项目,包含数据挖掘和NLP相关的处理,负责数据采集、主题抽取、情感分析等任务。开发的目的是克服用户打分和评论不一致,实时对重庆地区在线民宿的满意度进行评测,使用Python实现了在线评论采集和情感可视化分析。搭建了百度地图POI查询入口,可以进行自动化的批量查询POI信息的功能;构建了基于在线民宿语料的Word2vec主题聚类模型,利用主题中心词能找出对应的主题属性字典;以用户打分作为标注,然后通过实验贝叶斯、SVM、决策树等多种分类模型,最后选用贝叶斯模型进行情感分析,将情感分类概率分布作为情感趋势,最后通过POI热力图的方式对不同地域的民宿满意度进行展示。

data-mining-algorithm icon data-mining-algorithm

:bar_chart: 数据挖掘常用算法:关联分析Apriori算法,数据分类决策树算法,数据聚类K-means算法

gopup icon gopup

数据接口:百度、谷歌、头条、微博指数,宏观数据,利率数据,货币汇率,千里马、独角兽公司,新闻联播文字稿,影视票房数据,高校名单,疫情数据…

hs300_stock_predict icon hs300_stock_predict

该项目用于对沪深300股票的预测,包括股票下载,数据清洗,LSTM 模型的训练,测试,以及实时预测

load_boston icon load_boston

使用正规方程、梯度下降和岭回归分别进行波士顿房价预测实践

lstm_stock icon lstm_stock

基于LSTM的股票数据分析,数据来源于Tushare

machine-learning icon machine-learning

:zap: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

ml_demo icon ml_demo

一些机器学习算法的demo。普通最小二乘法,决策树(Iris鸢尾花数据集),KNN(mnist手写数字数据集),朴素贝叶斯分类西瓜数据集,trec06c数据集垃圾邮件分类(spam),逻辑斯蒂回归,随机梯度下降SGD与全梯度下降的对比,mnist中8和9的二分类,泰坦尼克号数据集。

retail icon retail

基于卷积神经网络的人脸识别

stock-marke-prediction icon stock-marke-prediction

AI (NN) - Simple deep neural network implemented using Tensorflow for predicting the closing price of S&P 500 market index based on other global markets.

stockai icon stockai

一个利用**股票市场日线级别数据分析的模型,历史数据来源tushare,sina,目前采用的模型算法是SVM,后续还会采用其他的算法来对比

textinfoexp icon 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

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