Alternatives and similar repositories for Statical-Learning-Method-LiHang_py_Eajack:

Users that are interested in Statical-Learning-Method-LiHang_py_Eajack are comparing it to the libraries listed below

• chenglu66 / data-analysis
  基于自构造函数的特征提取评分项目（缺失值处理，单变量相关性分析，特征评分，降维）
  ☆15Updated 7 years ago
• hfl15 / MachineLearning
  some notes about the basic knowledge of machine learning and data mining
  ☆34Updated 6 years ago
• OneStepAndTwoSteps / Data_Analysis_notes
  📖 Machine learning algorithms and deep learning algorithms
  ☆26Updated last year
• bingblackbean / streamlit_pycaret
  ☆21Updated 4 years ago
• apachecn / sklearn-cookbook-zh
  [译] Scikit-learn 秘籍
  ☆54Updated 5 years ago
• www5226448 / Master-Machine-Learning
  Implement common statistical machine learning algorithms with raw Numpy.
  ☆15Updated 4 years ago
• batch-norm / JDD-2017
  JDD-2017 京东金融大数据竞赛-销量预测-15th/889队
  ☆37Updated 7 years ago
• Doraemonzzz / MachineLearning_ColumbiaX
  记录edx的哥伦比亚大学机器学习课程资料
  ☆17Updated 6 years ago
• harleyszhang / data_analysis_notes
  数据分析学习笔记，包括numpy、pandas、matplotlib、Seaborn库学习笔记，以及数据挖掘及分析实例
  ☆22Updated 2 years ago
• naginoa / Data-mining
  机器学习 数据挖掘 案例和竞赛 代码
  ☆8Updated 4 years ago
• Albertsr / Machine-Learning
  LR / SVM / XGBoost / RandomForest etc.
  ☆28Updated 4 years ago
• zhulei227 / Stacking_Ensembles
  Stacking classification and regression
  ☆24Updated 5 years ago
• runrunbear / npl_class_word2Vec
  七月算法 - NPL课程 - NLP到Word2vec实战班
  ☆17Updated 7 years ago
• Qiuyan918 / m5_forcasting
  https://www.kaggle.com/c/m5-forecasting-accuracy/overview/
  ☆12Updated 4 years ago
• 0217smile / PYData-Book
  机器学习之数据分析《利用Python进行数据分析》Jupyter notebook
  ☆8Updated 7 years ago
• ECNUdase / Seminar-PRML
  《Pattern Recognition and Machine Learning》阅读讨论班
  ☆35Updated 5 years ago
• hetrone / kesai-anti-fraud
  人工智能社会保险反欺诈分析
  ☆30Updated 6 years ago
• maidoudoujiushiwo / risk_model
  risk_model
  ☆26Updated 2 years ago
• zhaohuicici / Time-Series-Model
  时间序列理论和案例实践
  ☆70Updated 7 years ago
• zxf864823150 / zxf_fist_up
  天池全国社会保险大数据应用+精准社保/天池精准社保第一赛季
  ☆8Updated 7 years ago
• huangxianyang / phone_addtion
  根据以往的电话外呼数据以及用户数据信息，提取有价值信息，完成数据分析报告,构建预测模型,提交部署,应用于现有存量用户,下采样,逻辑回归模型召回率87%。
  ☆10Updated 7 years ago
• ZhangXinNan / IntelligentRiskControl
  《智能风控——原理、算法与工程实践》
  ☆28Updated 4 years ago
• ys1305 / ML-hand
  各种机器学习算法的手写实现
  ☆20Updated 5 years ago
• sunyingjian / boosting-and-others
  三大boosting算法的工程实现 XGBoost、LightGBM、Catboost原理实现及常见面试问题总结，以及其他理解深刻的机器学习、深度学习文章备份
  ☆11Updated 3 years ago
• wangkangdegithub / AutoML
  AutoML
  ☆38Updated 6 years ago
• Relph1119 / recommendation-system-practice-notes
  《推荐系统实践》代码与读书笔记，在线阅读地址：https://relph1119.github.io/recommendation-system-practice-notes
  ☆38Updated 4 years ago
• yanhan19940405 / Data_machine_learning
  2019年CCF智能信用评分大赛个人源码库。包含XGboost模型调参，特征筛选，训练等方案。同时包含stacking模型融合方案
  ☆27Updated 5 years ago
• SailingHe / Automatic-scorecard-model
  评分卡建模自动化流程
  ☆18Updated 4 years ago
• yzkang / QLM-Tianchi
  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
• IceSuger / yancheng-sales
  天池-印象盐城-汽车销量预测大赛
  ☆36Updated 7 years ago