zhangjuefei / mentat
A machine learning library build on python, numpy and pandas.
☆23Updated 6 years ago
Alternatives and similar repositories for mentat
Users that are interested in mentat are comparing it to the libraries listed below
Sorting:
- ☆36Updated 4 years ago
- ChiMerge: Discretization of Numeric Attributes☆41Updated 9 years ago
- ☆12Updated 8 years ago
- 基于sklearn,强化Pipeline和FeatureUnion两个类。对FeatureUnion类, 使其支持部分数据处理;对两者,增加特征转换行为记录的功能。☆29Updated 8 years ago
- xlearn 中文文档☆18Updated 3 years ago
- 思维误区: 用理想模型来思考复杂现实问题☆38Updated 4 years ago
- 七月算法 - Kaggle课程 - Kaggle实战班 课件☆50Updated 7 years ago
- 该项目是关于机器学习经典书籍《Pattern Recognition and Machine Learning》的学习笔记,我用python实现了书中的一些实例,希望帮助感兴趣的人更好的理解☆77Updated 8 years ago
- 高效决策树算法系列笔记☆231Updated 5 years ago
- 主要解决ctr预估工程中的特征选择,特征编号(特征离散),单特征auc和logloss这3个问题.☆20Updated 8 years ago
- AutoML☆38Updated 6 years ago
- 《智能风控——原理、算法与工程实践》☆28Updated 4 years ago
- use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR☆44Updated 7 years ago
- ☆37Updated 6 years ago
- 零售电商客户流失模型,基于tensorflow,xgboost4j-spark,spark-ml实现LR,FM,GBDT,RF,进行模型效果对比,离线/在线部署方式总结☆67Updated last year
- Learning From Imbalanced Classes☆12Updated 8 years ago
- sprark word2vec wordembedding embedding☆18Updated 6 years ago
- xgboost 源码分析☆31Updated 8 years ago
- RankNet, LambdaRank, LambdaMART, GBrank☆14Updated 11 years ago
- ☆70Updated 8 years ago
- 《Pattern Recognition and Machine Learning》阅读讨论班☆35Updated 5 years ago
- gdbt implement by scikit-learn☆25Updated 7 years ago
- Multi-thread implementation of Factorization Machines with FTRL for multi-class classification problem which uses softmax as hypothesis.☆70Updated 3 years ago
- ☆51Updated 9 years ago
- Decision Tree with PEP,MEP,EBP,CVP,REP,CCP,ECP pruning algorithms,all are implemented with Python(sklearn-decision-tree-prune included,Al…☆67Updated 5 years ago
- 对数据框中的某个变量进行有监督的分箱操作☆64Updated 4 years ago
- 2017京东信贷金额预测竞赛,上传的代码有竞赛的原始代码和赛后结合其他选手的思路整理的重构代码。☆44Updated 7 years ago
- Java library and command-line application for converting LightGBM models to PMML☆174Updated last month
- 李航《统计学习方法》书的每一章节核心提炼以及Python代码实现,可以直接运行在Anaconda的Jupyter里面,从即日起抽时间不断更新,详见Readme.☆26Updated 6 years ago
- Examples of how to do feature engineering and Xgboost parameter tuning☆46Updated 8 years ago