本项目利用Python的scrapy框架爬取链家网的上海市租房信息,利用pandas、numpy、matplotlib、seaborn、folium 、wordcloud 等库进行数据分析和可视化,通过one-hot编码和文本特征提取出120个训练特征,搭建3层神经网络对上海市租房价格进行预测。
What is the MaiMeng1204/Predict-house-rent-with-neutral-network GitHub project? Description: "本项目利用Python的scrapy框架爬取链家网的上海市租房信息,利用pandas、numpy、matplotlib、seaborn、folium 、wordcloud 等库进行数据分析和可视化,通过one-hot编码和文本特征提取出120个训练特征,搭建3层神经网络对上海市租房价格进行预测。". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.
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