Alternatives and similar repositories for analytics_vidhya:

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

• ChenglongChen / kaggle-CrowdFlower
  1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.
  ☆1,761Updated 3 years ago
• MLWave / Kaggle-Ensemble-Guide
  Code for the Kaggle Ensembling Guide Article on MLWave
  ☆1,564Updated 7 years ago
• duxuhao / Feature-Selection
  Features selector based on the self selected-algorithm, loss function and validation method
  ☆673Updated 5 years ago
• alicezheng / feature-engineering-book
  Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
  ☆1,442Updated 4 years ago
• owenzhang / kaggle-avazu
  2nd place solution for Avazu click-through rate prediction competition
  ☆437Updated 9 years ago
• WillKoehrsen / automated-feature-engineering
  Automated feature engineering in Python with Featuretools
  ☆518Updated 5 years ago
• ChenglongChen / kaggle-HomeDepot
  3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.
  ☆465Updated 6 years ago
• emanuele / kaggle_pbr
  My best submission to the Kaggle competition "Predicting a Biological Response", ranked 17th over 711 teams.
  ☆440Updated 8 years ago
• SudalaiRajkumar / Kaggle
  Codes for Kaggle Competitions
  ☆510Updated 7 years ago
• ycjuan / kaggle-2014-criteo
  ☆1,262Updated 5 months ago
• kaz-Anova / StackNet
  StackNet is a computational, scalable and analytical Meta modelling framework
  ☆1,320Updated 6 years ago
• viisar / brew
  ⛔️ DEPRECATED brew: Python Ensemble Learning API
  ☆301Updated 6 years ago
• abhayspawar / featexp
  Feature exploration for supervised learning
  ☆763Updated 3 years ago
• WillKoehrsen / feature-selector
  Feature selector is a tool for dimensionality reduction of machine learning datasets
  ☆2,230Updated 7 months ago
• WillKoehrsen / hyperparameter-optimization
  Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
  ☆623Updated last year
• rushter / heamy
  A set of useful tools for competitive data science.
  ☆551Updated 2 years ago
• tqchen / xgboost
  https://github.com/dmlc/xgboost
  ☆573Updated 6 years ago
• vsmolyakov / experiments_with_python
  experiments with python
  ☆378Updated 7 years ago
• ycjuan / kaggle-avazu
  ☆447Updated 5 months ago
• EliotAndres / kaggle-past-solutions
  A searchable compilation of Kaggle past solutions
  ☆1,490Updated 5 years ago
• liudragonfly / GBDT
  A simple GBDT in Python
  ☆354Updated 6 years ago
• alteryx / Automated-Manual-Comparison
  Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
  ☆327Updated 4 years ago
• geffy / tffm
  TensorFlow implementation of an arbitrary order Factorization Machine
  ☆781Updated 3 years ago
• lytforgood / MachineLearningTrick
  Machine Learning Trick : GBDT_Feature Blending Stacking CascadeForest
  ☆368Updated 7 years ago
• dataworkshop / xgboost
  Tutorial how to use xgboost
  ☆176Updated 8 years ago
• lukaemon / Coursera-ML-AndrewNg
  use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm
  ☆922Updated 6 years ago
• rouseguy / TimeSeriesAnalysiswithPython
  Time Series Analysis with Python
  ☆344Updated 8 years ago
• wepe / O2O-Coupon-Usage-Forecast
  1st Place Solution for O2O Coupon Usage Forecast
  ☆1,393Updated 6 years ago
• iphysresearch / DataSciComp
  A collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.
  ☆1,669Updated 3 years ago