Alternatives and similar repositories for docker-course-xgboost

Users that are interested in docker-course-xgboost are comparing it to the libraries listed below

• abhishekkrthakur / greedyFeatureSelection
  greedy feature selection based on ROC AUC
  ☆126Updated 11 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
• gabrielspmoreira / static_resources
  ☆77Updated 9 years ago
• dnkirill / allstate_capstone
  Allstate Kaggle Competition ML Capstone Project
  ☆82Updated 8 years ago
• WillKoehrsen / automated-feature-engineering
  Automated feature engineering in Python with Featuretools
  ☆520Updated 6 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• jayinai / kaggle-classification
  A compiled list of kaggle competitions and their winning solutions for classification problems.
  ☆272Updated 9 years ago
• viisar / brew
  ⛔️ DEPRECATED brew: Python Ensemble Learning API
  ☆303Updated 7 years ago
• amueller / scipy-2017-sklearn
  Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
  ☆287Updated 8 years ago
• rushter / heamy
  A set of useful tools for competitive data science.
  ☆553Updated 2 years ago
• alno / kaggle-allstate-claims-severity
  2nd place solution for Allstate Claims Severity competition at Kaggle
  ☆131Updated 8 years ago
• seanabu / seanabu.github.io
  personal blog
  ☆106Updated 7 years ago
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆248Updated 7 years ago
• KazukiOnodera / Instacart
  2nd place solution🥕🥈
  ☆299Updated 7 years ago
• jayinai / kaggle-regression
  A compiled list of kaggle competitions and their winning solutions for regression problems.
  ☆149Updated 9 years ago
• amueller / COMS4995-s18
  COMS W4995 Applied Machine Learning - Spring 18
  ☆157Updated 6 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• natbusa / deepcredit
  How to predict credit defaulting?
  ☆93Updated 6 years ago
• Far0n / kaggletils
  ☆383Updated 8 years ago
• MaxHalford / xam
  Personal data science and machine learning toolbox
  ☆365Updated 5 years ago
• amirziai / sklearnflask
  Flask API for training and predicting using scikit learn models
  ☆300Updated 2 years ago
• Speedml / notebooks
  Speedml Python Notebooks
  ☆130Updated 8 years ago
• pwharrison / modern-nlp-in-python
  ☆374Updated 7 years ago
• diefimov / santander_2016
  The 3rd place solution for Santander Customer Satisfaction competition
  ☆122Updated 9 years ago
• jmsteinw / Notebooks
  This is where all of the IPython Notebooks will be kept from the blog
  ☆60Updated 7 years ago
• maoting1223 / pycon_sg_2016
  PyCon SG 2016 - Customer Segmentation in Python
  ☆56Updated 9 years ago
• aaxwaz / Fraud-detection-using-deep-learning
  ☆113Updated 7 years ago
• crawles / automl_service
  Deploy AutoML as a service using Flask
  ☆226Updated 8 years ago
• alteryx / Automated-Manual-Comparison
  Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
  ☆327Updated 5 years ago
• Lab41 / hermes
  Recommender System Framework
  ☆126Updated 8 years ago