搜索资源列表
BikeShare
- 本程序和文档为应用神经网络技术实现对华盛顿地区自行车租赁需求分析的系统，数据 来源与 https://www.kaggle.com/c/bike-sharing-demand。本程序并非商业软件，而是中国科 学院大学 2014 级研究生机器学习课程作业。-This program and documentation for the application of neural network technology to achieve system in the Washington ar
Machine-Learning-in-Python
- 《Python机器学习及实践：从零开始通往Kaggle竞赛之路》源码，提供了一些流行的机器学习框架与程序库的应用实例，包括tensorflow框架，注重实战。-Python machine learning and practice: zero to the road leading to the Kaggle contest source code, provides some popular machine learning framework and application examp
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_Mercedes_Benz
- kaggle 梅赛德斯奔驰比赛 top 3% 源码(Kaggle Mercedes Benz competition top3 solution)
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)
Feature_engineering_and_model_tuning
- kaggle案例编程,Python机器学习Kaggle案例实战(Kaggle case programming, Python machine learning Kaggle case real battle)
Chapter_1
- 《 机器学习及实践:从零开始通往Kaggle竞赛之路》源码，Chapter_1.ipynb("Machine learning and practice: the road from zero to Kaggle competition" source code, Chapter_1.ipynb)
pyDogVsCat
- 识别率85%，kaggle上有名的猫狗大战算法，可以很方便的查看分类结果。每一个epch需要22s左右（GTX1050Ti 4G）(The recognition rate is 85%. The famous dog and dog algorithm on kaggle is very convenient for us to see the classification results. Each epch needs about 22s (GTX1050Ti 4G))
subway_prediction_notebook
- jupyter notebook of subway prediction kaggle
energy_forecasting_notebooks
- energy_forecasting_notebooks kaggle competition
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.)