Alternatives and similar repositories for Automated-Manual-Comparison:

Users that are interested in Automated-Manual-Comparison are comparing it to the libraries listed below

• WillKoehrsen / automated-feature-engineering
  Automated feature engineering in Python with Featuretools
  ☆517Updated 6 years ago
• alteryx / open_source_demos
  A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
  ☆500Updated last year
• abhayspawar / featexp
  Feature exploration for supervised learning
  ☆763Updated 4 years ago
• limexp / xgbfir
  XGBoost Feature Interactions Reshaped
  ☆427Updated 7 years ago
• jfpuget / Kaggle
  My solution to Web Traffic Predictions competition on Kaggle.
  ☆154Updated 6 years ago
• rushter / heamy
  A set of useful tools for competitive data science.
  ☆550Updated 2 years ago
• h2oai / pystacknet
  ☆288Updated 2 years ago
• Sundar0989 / WOE-and-IV
  ☆136Updated 6 years ago
• MaxHalford / xam
  Personal data science and machine learning toolbox
  ☆365Updated 5 years ago
• crawles / automl_service
  Deploy AutoML as a service using Flask
  ☆226Updated 7 years ago
• Ibotta / sk-dist
  Distributed scikit-learn meta-estimators in PySpark
  ☆284Updated 11 months ago
• tkrabel / edaviz
  edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
  ☆224Updated 5 years ago
• duxuhao / Feature-Selection
  Features selector based on the self selected-algorithm, loss function and validation method
  ☆676Updated 5 years ago
• KazukiOnodera / Santander-Customer-Transaction-Prediction
  2nd Place Solution 💰🥈
  ☆163Updated 2 years ago
• mwburke / population-stability-index
  Python implementation of the population stability index (PSI)
  ☆139Updated last year
• MaxHalford / kaggle-recruit-restaurant
  Kaggle 8th place solution
  ☆106Updated last year
• alteryx / predict-customer-churn
  A general-purpose framework for solving problems with machine learning applied to predicting customer churn
  ☆412Updated 9 months ago
• RGF-team / rgf
  Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…
  ☆381Updated 3 years ago
• jstephenj14 / Monotonic-WOE-Binning-Algorithm
  Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …
  ☆117Updated 2 years ago
• ParrotPrediction / docker-course-xgboost
  Materials for an online-course - "Practical XGBoost in Python"
  ☆219Updated 8 years ago
• boredbird / woe
  Tools for WoE Transformation mostly used in ScoreCard Model for credit rating
  ☆255Updated 5 years ago
• patrick201 / information_value
  ☆102Updated 8 years ago
• xiaozhouwang / kaggle-porto-seguro
  2nd Place Solution for Kaggle Porto Seguro's Safe Driver Prediction
  ☆155Updated 5 years ago
• Far0n / kaggletils
  ☆381Updated 7 years ago
• alno / kaggle-allstate-claims-severity
  2nd place solution for Allstate Claims Severity competition at Kaggle
  ☆131Updated 8 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆853Updated last year
• viisar / brew
  ⛔️ DEPRECATED brew: Python Ensemble Learning API
  ☆302Updated 6 years ago
• PacktPublishing / Feature-Engineering-Made-Easy
  Feature Engineering Made Easy, published by Packt
  ☆215Updated 2 years ago
• cttsai1985 / Kaggle-Home-Credit-Default-Risk-Pipeline
  Kaggling Home Credit Default Risk in a pipeline fashion.
  ☆12Updated 6 years ago
• wayfair / pylift
  Uplift modeling package.
  ☆373Updated 2 years ago