Alternatives and similar repositories for awesome-feature-engineering

Users that are interested in awesome-feature-engineering are comparing it to the libraries listed below

• anujdutt9 / Feature-Selection-for-Machine-Learning
  Methods with examples for Feature Selection during Pre-processing in Machine Learning.
  ☆362Updated 5 years ago
• ashishpatel26 / Amazing-Feature-Engineering
  Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features…
  ☆744Updated 3 months ago
• alteryx / predict-customer-churn
  A general-purpose framework for solving problems with machine learning applied to predicting customer churn
  ☆418Updated last year
• the-black-knight-01 / Data-Science-Competitions
  Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
  ☆809Updated 5 years ago
• zhiqiangzhongddu / Data-Science-Interview-Questions-and-Answers-General-
  Data Science Questions and Answers (General) for beginner
  ☆219Updated 8 years ago
• aditya1702 / Machine-Learning-and-Data-Science
  This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machin…
  ☆271Updated 2 years ago
• Sundar0989 / WOE-and-IV
  ☆136Updated 6 years ago
• susanli2016 / PySpark-and-MLlib
  Getting start with PySpark and MLlib
  ☆300Updated 7 years ago
• KazukiOnodera / Santander-Customer-Transaction-Prediction
  2nd Place Solution 💰🥈
  ☆163Updated 2 years ago
• 30lm32 / ml-projects
  ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xg…
  ☆282Updated 4 years ago
• alteryx / Automated-Manual-Comparison
  Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
  ☆327Updated 5 years ago
• rajat5ranjan / AV-LTFS-Data-Science-FinHack-ML-Hackathon
  L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya
  ☆55Updated 6 years ago
• WillKoehrsen / automated-feature-engineering
  Automated feature engineering in Python with Featuretools
  ☆520Updated 6 years ago
• piyushpathak03 / cracking-the-data-science-interview-in-7-days
  ☆131Updated 3 years ago
• jayinai / kaggle-regression
  A compiled list of kaggle competitions and their winning solutions for regression problems.
  ☆149Updated 9 years ago
• jayinai / kaggle-classification
  A compiled list of kaggle competitions and their winning solutions for classification problems.
  ☆271Updated 9 years ago
• SudalaiRajkumar / Kaggle
  Codes for Kaggle Competitions
  ☆516Updated 7 years ago
• mervynlee94 / Advance-Machine-Learning
  ☆85Updated 7 years ago
• dipanjanS / tensorflow2-crash-course
  A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API
  ☆227Updated 4 years ago
• PacktPublishing / Python-Feature-Engineering-Cookbook
  Python Feature Engineering Cookbook, published by Packt
  ☆481Updated 2 years ago
• groverpr / Machine-Learning
  Notes for machine learning
  ☆219Updated 3 years ago
• SudalaiRajkumar / ML
  Codes related to various ML Hackathons
  ☆212Updated 6 years ago
• davidyakobovitch / data_science_resources
  📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines
  ☆161Updated 3 years ago
• JifuZhao / 120-DS-Interview-Questions
  My Answer to 120 Data Science Interview Questions
  ☆505Updated 5 years ago
• legolas140 / competitive-data-science-1
  How to Win a Data Science Competition: Learn from Top Kagglers
  ☆174Updated 7 years ago
• hse-aml / competitive-data-science
  Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
  ☆660Updated 5 years ago
• alteryx / open_source_demos
  A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
  ☆501Updated 2 years ago
• aayushmnit / cookbook
  A repository of machine learning codes written for re-usability
  ☆143Updated 5 years ago
• KevinLiao159 / MyDataSciencePortfolio
  Applying Data Science and Machine Learning to Solve Real World Business Problems
  ☆404Updated 5 years ago
• anindya-saha / Data-Science-with-Spark
  Machine Learning and Data Analysis Case Studies using Spark.
  ☆72Updated 4 years ago