Alternatives and similar repositories for home-credit-default-risk

Users that are interested in home-credit-default-risk are comparing it to the libraries listed below

• jfpuget / Kaggle_Santander_2019
  ☆43Updated 6 years ago
• jfpuget / Kaggle
  My solution to Web Traffic Predictions competition on Kaggle.
  ☆153Updated 7 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• crawles / automl_service
  Deploy AutoML as a service using Flask
  ☆226Updated 7 years ago
• natbusa / deepcredit
  How to predict credit defaulting?
  ☆93Updated 5 years ago
• MaxHalford / xam
  Personal data science and machine learning toolbox
  ☆365Updated 5 years ago
• alteryx / predict-loan-repayment
  Predict whether a loan will be repaid using automated feature engineering.
  ☆63Updated last year
• shik3519 / programming-concepts-for-data-science
  Basics of programming: algorithms, data structures, object oriented programming
  ☆93Updated 7 years ago
• kaz-Anova / py_ml_utils
  Some small utility modules to help with pandas, numpy and sklearn usage in other projects
  ☆22Updated 10 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• jayinai / kaggle-regression
  A compiled list of kaggle competitions and their winning solutions for regression problems.
  ☆148Updated 9 years ago
• bgweber / DS_Production
  ☆155Updated 4 years ago
• minerva-ml / steppy
  Lightweight, Python library for fast and reproducible experimentation
  ☆136Updated 6 years ago
• MaxHalford / kaggle-recruit-restaurant
  Kaggle 8th place solution
  ☆108Updated last year
• ParrotPrediction / docker-course-xgboost
  Materials for an online-course - "Practical XGBoost in Python"
  ☆219Updated 8 years ago
• erikbern / uncertainty
  ☆56Updated 6 years ago
• alteryx / Automated-Manual-Comparison
  Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
  ☆327Updated 5 years ago
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆248Updated 6 years ago
• jeongyoonlee / data-science-process-management
  Resources for Data Science Process management
  ☆204Updated 5 years ago
• EricSchles / drifter_ml
  A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
  ☆103Updated 3 years ago
• neerjad / DataVisualization
  Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
  ☆269Updated 5 years ago
• tnmichael309 / Kaggle-Santander-Customer-Transaction-Prediction-5th-Place-Partial-Solution
  Kaggle Competition notebooks
  ☆34Updated 6 years ago
• manifoldai / mf-eng-public
  ☆50Updated 6 years ago
• tkrabel / edaviz
  edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
  ☆225Updated 5 years ago
• mxbi / mlcrate
  A python module of handy tools and functions, mainly for ML and Kaggle
  ☆335Updated 4 years ago
• kaz-Anova / ensemble_amazon
  Code to share different ensemble techniques with focus on meta-stacking , using data from Amazon.com - Employee Access Challenge kaggle c…
  ☆225Updated 9 years ago
• Semantive / Kaggle-Demand-Forecasting-Models
  Demand Forecasting Models for Kaggle competition
  ☆84Updated 7 years ago
• minerva-ml / open-solution-value-prediction
  Open solution to the Santander Value Prediction Challenge
  ☆39Updated 3 years ago
• rushter / heamy
  A set of useful tools for competitive data science.
  ☆552Updated 2 years ago
• KazukiOnodera / Instacart
  2nd place solution🥕🥈
  ☆299Updated 7 years ago