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DM
- 这个是数据挖掘关于加利福利亚州的小区房价的分析与预测，所用的分类方法有决策树和神经网络-This is a classification of data mining analysis and prediction about California' s residential housing prices, the use of decision trees and neural networks have
HousePrice(gradient-descent)
- 利用机器学习算法实现南京房价预测。已知2000年至2013年的南京房价，利用梯度下降法预测2014年南京房价。-Nanjing using machine learning algorithm to predict prices. Known 2000-2013 Nanjing prices, using the gradient descent method to predict 2014 Nanjing prices.
house_price
- kaggle 房价预测试题详解，里面有大量中文注释，都是我自己写的，代码有些是参考别人的英文提交的kernel，数据处理工作做的比较多-kaggle Rate forecast Detailed questions, there are a large number of Chinese comments are my own writing, the code is a reference to some of the others submitted in English kernel, d
Kaggle_Russian_Housing_Market
- kaggle 俄罗斯房价预测 top2% 解决方案(Kaggle Russian Housing Market price predict top2% solution)
textCNN_classfication
- kaggle机器学习实战代码，解决实战出现的问题(Kaggle machine learning combat code to solve practical problems,Realizing text classification)
House Price Regression
- 经典的房价预测问题，用jupyter notebook编写的简单实现。使用XGBoost模块进行学习预测。(The classic price prediction problem, a simple implementation written in jupyter notebook. The XGBoost module is used for learning prediction.)
房价预测
- kaggle项目，排名还挺靠前，需要和kaggle数据一起使用，需到kaggle网站下载。(The kaggle project, ranked high, needs to be used with kaggle data and downloaded from the kaggle website.)