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Lidaishu's Projects

bp- icon bp-

利用BP神经网络实现手写数字识别

bp-algorithm icon bp-algorithm

一文彻底搞懂BP算法:原理推导+数据演示+项目实战

classification_model icon classification_model

The mainstream model of image classification is realized in this work. LeNet、VGG、Inception v1、v2、v3、v4、ResNet、SENet、ShuffleNet、MobileNet、GhostNet...

classifier_multi_label icon classifier_multi_label

multi-label,classifier,text classification,多标签文本分类,文本分类,BERT,ALBERT,multi-label-classification

copytranslator icon copytranslator

Foreign language reading and translation assistant based on copy and translate.

covid-ct icon covid-ct

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

credit_default icon credit_default

针对**某银行信用卡的数据,构建一个分析信用卡违约率的分类器。采用Random Forest算法,信用卡违约率识别率在80%左右。

ctrmodel icon ctrmodel

CTR prediction model based on spark(LR, GBDT, DNN)

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。软件版本请见链接。

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