crystalwhm Goto Github PK
Type: User
crystalwhm's Projects
house-price-prediction
房价预测完整项目：1.爬取链家网数据 2.处理后，用sklearn中几个逻辑回归机器学习模型和keras神经网络搭建模型预测房价 最终结果神经网络效果更好，R^2值0.75左右
housedb
🏡🏡🏡 房源数据爬虫。支持断点续爬，价格变更通知，提供数据的分析统计服务。
housepricing
HousePricing旨在提供房价的可视化预测，帮助用户更好的评估房产和预测未来的价格(dev)
kaggle
kaggle 比赛 使用sklearn进行kaggle数据竞赛基础及实践
kaggle-1
kaggle-US housing price forecast
logistics-regression-model
房价预测Lasso + Xgboost模型
nirs-regression-forecasting-model
关于近红外光谱数据，用广义回归神经网络构建预测模型，也包括传统的RBF神经网络方法和不同的降维方法等
price-prediction-and-recommendation-of-second-hand-housing-in-shanghai
基于postgresql+机器学习库MadLib的上海地区二手房价格预测及推荐）
python-houseprice-analysis-and-visualization
基于python的二手房价分析与可视化
rbfneuralnetwork
RBF(Radial Basis Function) Neural Network Implementation in Python
rbfnn
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