sea-boat / MachineLearning_Lab
Code lab for machine learning. Including Least Square Method,Gradient Descent,Newton's Method,Hierarchy Cluster,KNN,Markov,Adaboost,Random Number Generation(all kinds of distributions),N Sigma outlier detection,outlier detection based on median,FFT outlier detection,DBSCAN,Kmeans,Naive Bayes,perceptron,reinforcement learning.
☆40Updated 6 years ago
Alternatives and similar repositories for MachineLearning_Lab:
Users that are interested in MachineLearning_Lab are comparing it to the libraries listed below
- PyTorch中文入门教程☆41Updated 7 years ago
- tensorflow serving and deep model online https://dataxujing.github.io/tensorflow-serving-Wechat/?transition=convex#/☆19Updated 6 years ago
- python code for xgboost(train, predict, evaluate)☆18Updated 6 years ago
- 住房月租金预测大数据赛TOP1☆28Updated 5 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
- My Machine Learning☆68Updated 6 years ago
- 京东JData算法大赛-高潜用户购买意向预测☆22Updated 7 years ago
- 天池糖尿病血糖预测比赛 精准医疗 初赛B榜24名☆21Updated 7 years ago
- 个人维护的《Python大战机器学习:数据科学家的一个小目标》对应的源码;IDE:PyCharm☆18Updated 6 years ago
- 自己总结的机器学习的算法与相应的程序☆21Updated 6 years ago
- 天池大数据竞赛 千里马大赛 风险识别与预测赛题 Top5☆14Updated 5 years ago
- Book_DeepLearning_Practice☆31Updated 7 years ago
- 为天池数据竞赛写的自动化特征工程和训练工具,可以通过配置的方式从mysql数据库中生成特征。同时重新封装了数据,特征和模型,使其可以被自动化测试系统识别及调用。待完成的工作:自动化测试系统的调度关键技术。☆12Updated 9 years ago
- 天池工业AI大赛-智能制造质量预测,排名89/2539☆36Updated 6 years ago
- 阿里巴巴天池比赛——阿里音乐流行趋势预测大赛 && 菜鸟-需求预测与分仓规划☆11Updated 8 years ago
- ☆12Updated 8 years ago
- 迁移学习☆17Updated 6 years ago
- 智能制造工业AI Top2解决方案☆20Updated 6 years ago
- CCF_大数据精准营销中搜狗用户画像挖掘☆17Updated 7 years ago
- 唯品会用户购买行为预测☆27Updated 6 years ago
- 2018平安产险数据建模大赛 驾驶行为预测驾驶风险☆13Updated 6 years ago
- Rossmann Store Sales: https://www.kaggle.com/c/rossmann-store-sales☆10Updated 6 years ago
- ATEC蚂蚁开发者大赛-风险大脑-支付风险识别☆18Updated 6 years ago
- some small codes about deep learning☆51Updated 6 years ago
- 机器学习☆27Updated 7 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
- 2019数字中国创新大赛 混凝土泵车砼活塞故障预警 亚军☆21Updated 5 years ago
- Keras 快速上手——基于 Python 的深度学习实战☆34Updated 6 years ago
- 《实体数据挖掘与知识图谱构建》一书的代码和实验数据。☆43Updated 9 years ago
- Simple Python Adaboost Implementation☆25Updated 4 years ago