Alternatives and similar repositories for SECOM_class_imbalance

Users that are interested in SECOM_class_imbalance are comparing it to the libraries listed below

• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 8 years ago
• toshi-k / kaggle-bosch-production-line-performance
  57th place solution in "Bosch Production Line Performance"
  ☆19Updated 8 years ago
• nfmcclure / DataScience350
  Notes for Data Science 350 Class
  ☆24Updated 8 years ago
• NeerajSarwan / CPT
  This is the native Python implementation of CPT(compact Prediction Tree)
  ☆46Updated 6 years ago
• mrahtz / sanger-machine-learning-workshop
  Code for machine learning workshop given to Sanger Systems group
  ☆40Updated 9 years ago
• cavaunpeu / flight-delays
  Transfer learning for flight-delay prediction via variational autoencoders in Keras
  ☆34Updated 8 years ago
• alteryx / DL-DB
  Deep learning for time-varying multi-entity datasets
  ☆17Updated 7 years ago
• kaz-Anova / Competitive_Dai
  The code to generate a top 20 score in the amazon classification challenge using Driverless AI's predictions and feature engineering : In…
  ☆18Updated 7 years ago
• alteryx / predict-household-poverty
  Predict the poverty of households in Costa Rica using automated feature engineering.
  ☆23Updated 5 years ago
• mllite / sklearn_explain
  Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
  ☆13Updated 4 years ago
• NervanaSystems / aidc-2018-timeseries
  Deep learning for time-series data
  ☆49Updated 2 years ago
• aqibsaeed / Anomaly-Detection
  Anomaly detection algorithm implementation in Python
  ☆130Updated 5 years ago
• drivendataorg / power-laws-anomalies
  ☆32Updated last year
• cran2367 / autoencoder_classifier
  Autoencoder model for rare event classification
  ☆105Updated 6 years ago
• zygmuntz / time-series-classification
  Classifying time series using feature extraction
  ☆86Updated 6 years ago
• tmkilian / GA_capstone-Housing_prices
  My machine learning capstone projects that predicts rental rates and property values in San Francisco using two datasets (Airbnb and SF A…
  ☆31Updated 6 years ago
• thtang / Business-Analytics-Using-Statistical-Modeling
  BASM - 2017 Spring
  ☆25Updated 7 years ago
• drivendataorg / power-laws-cold-start
  ☆23Updated last year
• EvoML / EvoML
  Using Genetic Algorithms to aid Machine Learning
  ☆18Updated 7 years ago
• jayinai / kaggle-sequence
  A compiled list of kaggle competitions and their winning solutions for sequence problems.
  ☆35Updated 8 years ago
• rakshita95 / DeepLearning-time-series
  LSTM for time series forecasting
  ☆28Updated 7 years ago
• hpi-epic / pricewars
  Price Wars - A Simulation Platform for Dynamic Pricing Competition
  ☆53Updated 6 years ago
• benfulcher / hctsa_python
  Initial attempt to incorporate some time-series analysis features from hctsa into python land
  ☆28Updated 9 years ago
• jeffwong / kaggle-energy
  Global Energy Forecasting Competition 2012 - Load Forecasting
  ☆18Updated 12 years ago
• naomifridman / Deep-VAE-prediction-of-churn-customer
  Variational deep autoencoder to predict churn customer
  ☆29Updated 7 years ago
• rodrigobressan / entity_embeddings_categorical
  Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
  ☆70Updated 2 years ago
• christophM / explain-ml
  ☆34Updated 8 years ago
• unnati-xyz / ensemble-package
  Package for Ensemble of Machine Learning Models
  ☆30Updated 5 years ago
• adiyoss / DeepAnomaly
  Recurrent Neural Networks for Anomaly Detection using Time Series Data
  ☆21Updated 9 years ago
• albertcthomas / anomaly_tuning
  Learning hyperparameters for unsupervised anomaly detection
  ☆38Updated 5 years ago