Alternatives and similar repositories for logclustering-py

Users that are interested in logclustering-py are comparing it to the libraries listed below

• HanXiaoyang / Feature_Engineering_and_XGBoost_Parameter_Tuning
  Examples of how to do feature engineering and Xgboost parameter tuning
  ☆48Updated 9 years ago
• lisette-espin / pychimerge
  ChiMerge: Discretization of Numeric Attributes
  ☆41Updated 9 years ago
• AbnerYang / 2016CCF-StateGrid
  CCF2016 - TNT_000二等奖作品
  ☆64Updated 9 years ago
• patrick201 / information_value
  ☆102Updated 9 years ago
• chenchiwei / tradaboost
  Transfer learning algorithm TrAdaboost,coded by python
  ☆126Updated 3 years ago
• damjankuznar / pylof
  Python implementation of Local Outlier Factor algorithm.
  ☆158Updated 9 years ago
• ichuang / tflearn_wide_and_deep
  Pedagogical example realization of wide & deep networks, using TensorFlow and TFLearn.
  ☆145Updated 9 years ago
• wepe / CaiNiao-DemandForecast-StoragePlaning
  1st Place Season one & 6th Place Season two
  ☆153Updated 8 years ago
• titicaca / spark-gbtlr
  Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark
  ☆88Updated 7 years ago
• enaeseth / python-fp-growth
  An implementation of the FP-growth algorithm in pure Python.
  ☆369Updated 3 years ago
• HanXiaoyang / pyspark-recommendation-demo
  movie recommendation demo using collaborative filtering and lfm(spark mllib ALS)
  ☆96Updated 9 years ago
• ikki407 / stacking
  Stacked Generalization (Ensemble Learning)
  ☆229Updated 8 years ago
• zldeng / XgboostAndLR
  use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR
  ☆44Updated 8 years ago
• wangyibo360 / pylof
  Python implementation of Local Outlier Factor algorithm.
  ☆57Updated 9 years ago
• aurotripathy / lstm-anomaly-detect
  Example code for neural-network-based anomaly detection of time-series data (uses LSTM)
  ☆182Updated 8 years ago
• plantsgo / kesci_ctrip
  用户预订售卖房型概率预测--top1
  ☆142Updated 8 years ago
• TPLink32 / logistic-regression
  对逻辑回归各种用法的总结,包括线性,多类,并行,分布式,在线,优化方案
  ☆15Updated 8 years ago
• jimmycheng603 / data_analysis
  数据分析
  ☆12Updated 8 years ago
• evancasey / spark-knn-recommender
  Item and User-based KNN recommendation algorithms using PySpark
  ☆125Updated 8 years ago
• pickou / ccf_human_or_robot
  ☆11Updated 7 years ago
• AshutoshDongare / Tensorflow-Wide-Deep-Local-Prediction
  This project demonstrates how to run and save predictions locally using exported tensorflow estimator model
  ☆30Updated 7 years ago
• alexeygrigorev / outbrain-click-prediction-kaggle
  Solution to the Outbrain Click Prediction competition
  ☆146Updated 8 years ago
• wepe / DataCastle-Solution
  1st Place Solution for DataCastle-CashBus Competition
  ☆217Updated 9 years ago
• duoan / ijcai18-mama-ads-competition
  IJCAI-18 阿里妈妈搜索广告转化预测初赛方案
  ☆74Updated 7 years ago
• yzkang / QH_FInSight
  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 7 years ago
• evandempsey / fp-growth
  Python implementation of the Frequent Pattern Growth algorithm
  ☆139Updated 5 months ago
• jrzaurin / Wide-and-Deep-Keras
  Keras implementation of Tensorflow's Wide and Deep Algorithm
  ☆161Updated 6 years ago
• RogerMonkey / IJCAI_CUP_2017
  IJCAI-17 口碑商家客流量预测
  ☆103Updated 8 years ago
• xSupervisedLearning / Rong360_feature_mining_1st_solution
  ☆65Updated 6 years ago
• onlystar666 / CCF_sougou
  CCF_大数据精准营销中搜狗用户画像挖掘
  ☆17Updated 8 years ago