Alternatives and similar repositories for feature-engineering-book

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

• WillKoehrsen / automated-feature-engineering
  Automated feature engineering in Python with Featuretools
  ☆519Updated 6 years ago
• PacktPublishing / Feature-Engineering-Made-Easy
  Feature Engineering Made Easy, published by Packt
  ☆216Updated 2 years ago
• abhayspawar / featexp
  Feature exploration for supervised learning
  ☆764Updated 4 years ago
• 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...).
  ☆805Updated 5 years ago
• WillKoehrsen / feature-selector
  Feature selector is a tool for dimensionality reduction of machine learning datasets
  ☆2,242Updated last year
• catboost / tutorials
  CatBoost tutorials repository
  ☆1,071Updated 3 months ago
• aikho / awesome-feature-engineering
  A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
  ☆592Updated 6 years ago
• aapatel09 / handson-unsupervised-learning
  Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
  ☆678Updated last year
• amueller / COMS4995-s19
  COMS W4995 Applied Machine Learning - Spring 19
  ☆302Updated 5 years ago
• WillKoehrsen / hyperparameter-optimization
  Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
  ☆632Updated 2 years ago
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,450Updated 3 weeks ago
• alteryx / Automated-Manual-Comparison
  Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
  ☆327Updated 5 years ago
• hse-aml / competitive-data-science
  Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
  ☆661Updated 5 years ago
• dgkim5360 / the-elements-of-statistical-learning-notebooks
  Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…
  ☆288Updated 7 years ago
• vsmolyakov / experiments_with_python
  experiments with python
  ☆380Updated 7 years ago
• thismlguy / analytics_vidhya
  Codes related to activities on AV including articles, hackathons and discussions.
  ☆1,196Updated 5 years ago
• DOsinga / deep_learning_cookbook
  Deep Learning Cookbox
  ☆694Updated 4 years ago
• brinkar / real-world-machine-learning
  Code accompanying the Real-World Machine Learning book
  ☆327Updated 8 years ago
• SudalaiRajkumar / Kaggle
  Codes for Kaggle Competitions
  ☆516Updated 7 years ago
• MLWave / Kaggle-Ensemble-Guide
  Code for the Kaggle Ensembling Guide Article on MLWave
  ☆1,580Updated 7 years ago
• Yimeng-Zhang / feature-engineering-and-feature-selection
  A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
  ☆1,571Updated 2 years ago
• Sundar0989 / WOE-and-IV
  ☆136Updated 6 years ago
• Pysamlam / Tips-of-Feature-engineering
  A feature engineering kit for each issue, to give you a deeper and deeper understanding of the work of feature engineering!
  ☆672Updated 4 years ago
• hundredblocks / concrete_NLP_tutorial
  An NLP workshop about concrete solutions to real problems
  ☆1,081Updated 4 years ago
• PacktPublishing / Python-Machine-Learning-Cookbook
  Code files for Python-Machine-Learning-Cookbook
  ☆457Updated 2 years ago
• alteryx / predict-customer-churn
  A general-purpose framework for solving problems with machine learning applied to predicting customer churn
  ☆413Updated last year
• PacktPublishing / Python-Feature-Engineering-Cookbook
  Python Feature Engineering Cookbook, published by Packt
  ☆480Updated 2 years ago
• ageron / tf2_course
  Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
  ☆1,921Updated 2 years ago
• susanli2016 / PySpark-and-MLlib
  Getting start with PySpark and MLlib
  ☆298Updated 7 years ago
• dformoso / sklearn-classification
  Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
  ☆696Updated 3 years ago