lucksd356 / DecisionTrees
A python implementation of the CART algorithm for decision trees
☆46Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for DecisionTrees
- Examples of how to do feature engineering and Xgboost parameter tuning☆46Updated 8 years ago
- Some algorithms to form frequent itemsets/association rules from datasets, where many techniques, such as FP-tree, Apriori, PSO, GA, Gran…☆61Updated 7 years ago
- 天池-印象盐城-汽车销量预测大赛☆35Updated 6 years ago
- 智能制造工业AI Top2解决方案☆20Updated 6 years ago
- 科赛 携程出行产品未来14个月销量预测 第2名☆62Updated 7 years ago
- Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation☆128Updated 7 years ago
- 比赛常用的特征工程、类别不平衡处理方法☆16Updated 6 years ago
- Solutions of the forecast problem using Xgboost☆91Updated 5 years ago
- Python implementation of Local Outlier Factor algorithm.☆57Updated 8 years ago
- 机器学习的特征工程，包括特征抽取、特征预处理、特征选择、特征降维。☆24Updated 5 years ago
- 数据挖掘竞赛(Kaggle,Data Castle,Analytics Vidhya,DrivenData)入门实践☆81Updated 7 years ago
- 国内首个迁移学习赛题 中国平安前海征信“好信杯”迁移学习大数据算法大赛 FInSight团队作品(算法方案排名第三)☆87Updated 6 years ago
- 思维误区: 用理想模型来思考复杂现实问题☆38Updated 4 years ago
- 通过科研人员论文项目等数据，训练识别导师/学生的分类器。代码包 括特征选择基础、网格搜索确定特征选择方法参数、不平衡数据的处理(oversampling、undersampling)和pu-learning方法在此问题上的应用☆31Updated 5 years ago
- [Data Castle 算法竞赛] 精品旅行服务成单预测 final rank 11☆93Updated 6 years ago
- 基于kaggle上Titanic数据集实现的ID3、C4.5、CART和CART剪枝算法☆39Updated 5 years ago
- CCF_大数据精准营销中搜狗用户画像挖掘☆17Updated 7 years ago
- CART Decision Tree☆30Updated 6 years ago
- python code for xgboost(train, predict, evaluate)☆18Updated 6 years ago
- 2018中国高校计算机大赛——大数据挑战赛 Rank 20th 代码☆9Updated 6 years ago
- JDD-2017 京东金融大数据竞赛-销量预测-15th/889队☆35Updated 6 years ago
- 初赛Rank1 复赛Rank1 2018 CCF 大数据与计算智能大赛 供应链需求预测 Miracccccccle☆170Updated 5 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。☆45Updated 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☆66Updated last year
- 蚂蚁金服-用户精确定位比赛☆12Updated 7 years ago
- 在sklearn下，几种常用的特征选择方法☆40Updated 8 years ago
- #30 at KDD CUP 2018 https://biendata.com/competition/kdd_2018/☆42Updated 6 years ago
- Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-…☆34Updated 7 years ago
- 用户对品类下店铺的购买预测☆26Updated 5 years ago
- 常用的特征选择方法☆68Updated 2 years ago