mratsim / home-credit-default-risk

Related projects: ⓘ

• kaz-Anova / py_ml_utils
  Some small utility modules to help with pandas, numpy and sklearn usage in other projects
  ☆22Updated 9 years ago
• jfpuget / Kaggle_Santander_2019
  ☆43Updated 5 years ago
• natbusa / deepcredit
  How to predict credit defaulting?
  ☆94Updated 5 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 7 years ago
• lmassaron / kaggledays-2019-gbdt
  Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop
  ☆92Updated last year
• abhishekkrthakur / pysembler
  An automatic ensembler of machine learning models in python
  ☆67Updated 7 years ago
• MaxHalford / kaggle-recruit-restaurant
  Kaggle 8th place solution
  ☆106Updated 11 months ago
• cttsai1985 / Kaggle-Home-Credit-Default-Risk-Pipeline
  Kaggling Home Credit Default Risk in a pipeline fashion.
  ☆12Updated 6 years ago
• minerva-ml / steppy-toolkit
  Curated set of transformers that make your work with steppy faster and more effective
  ☆22Updated 5 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆163Updated 5 years ago
• bhimmetoglu / kaggle_101
  Some work on Kaggle data for fun
  ☆64Updated 7 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 5 years ago
• goldentom42 / py_ml_utils
  Python utilities for Machine Learning competitions
  ☆31Updated 6 years ago
• sergeyshilin / kaggle-competitions-framework
  Framework for typical Kaggle ensembling
  ☆9Updated 5 years ago
• erikbern / uncertainty
  ☆56Updated 5 years ago
• zygmuntz / adversarial-validation
  Creating a better validation set when test examples differ from training examples
  ☆99Updated 8 years ago
• jayinai / how-to-kaggle
  A research into the workflow for Kaggle competition (and data science in general) collaboratively
  ☆46Updated 7 years ago
• minerva-ml / steppy
  Lightweight, Python library for fast and reproducible experimentation
  ☆134Updated 5 years ago
• dnkirill / allstate_capstone
  Allstate Kaggle Competition ML Capstone Project
  ☆80Updated 7 years ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆104Updated 5 years ago
• manifoldai / mf-eng-public
  ☆52Updated 5 years ago
• jayinai / kaggle-sequence
  A compiled list of kaggle competitions and their winning solutions for sequence problems.
  ☆35Updated 8 years ago
• tnmichael309 / Kaggle-Santander-Customer-Transaction-Prediction-5th-Place-Partial-Solution
  Kaggle Competition notebooks
  ☆33Updated 5 years ago
• sh1ng / imba
  ☆54Updated 7 years ago
• jayinai / kaggle-regression
  A compiled list of kaggle competitions and their winning solutions for regression problems.
  ☆145Updated 8 years ago
• datascienceinc / pydata-seattle-2017
  ☆82Updated this week
• NawfalTachfine / PredictionAPI
  Tutorial on deploying machine learning models to production
  ☆58Updated 4 years ago
• mxbi / kaggledays-paris
  Winning Solution to the Kaggle Days Paris offline competition
  ☆63Updated 5 years ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated last year
• minerva-ml / open-solution-value-prediction
  Open solution to the Santander Value Prediction Challenge
  ☆39Updated 2 years ago