Alternatives and similar repositories for feature-engineering-for-machine-learning

Users that are interested in feature-engineering-for-machine-learning are comparing it to the libraries listed below

• solegalli / feature-selection-for-machine-learning
  Code repository for the online course Feature Selection for Machine Learning
  ☆329Updated 10 months ago
• solegalli / hyperparameter-optimization
  Code repository for the online course Hyperparameter Optimization for Machine Learning
  ☆125Updated 11 months ago
• solegalli / machine-learning-imbalanced-data
  Code repository for the online course Machine Learning with Imbalanced Data
  ☆182Updated 9 months ago
• solegalli / machine-learning-interpretability
  Code repository for the online course Machine Learning Interpretability
  ☆27Updated 10 months ago
• PacktPublishing / Python-Feature-Engineering-Cookbook
  Python Feature Engineering Cookbook, published by Packt
  ☆481Updated 2 years ago
• PacktPublishing / Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
  Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
  ☆211Updated 3 months ago
• srivatsan88 / End-to-End-Time-Series
  This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJ…
  ☆265Updated 2 years ago
• rachittoshniwal / machineLearning
  A repo for all the relevant code notebooks and datasets used in my Machine Learning tutorial videos on YouTube
  ☆73Updated 3 years ago
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆244Updated last year
• PacktPublishing / Machine-Learning-Engineering-with-Python
  Machine Learning Engineering with Python
  ☆185Updated 2 years ago
• stephanieirvine / Udacity-Data-Scientist-Nanodegree
  ☆35Updated 4 years ago
• Pegah-Ardehkhani / Statistics-and-Probability-in-Python
  A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python
  ☆145Updated 5 months ago
• PacktPublishing / Interpretable-Machine-Learning-with-Python
  Interpretable Machine Learning with Python, published by Packt
  ☆470Updated 2 years ago
• FrancescoCasalegno / AB-Testing
  A/B Testing — A complete guide to statistical testing
  ☆173Updated 3 years ago
• Suwarti / Customer-Segmentation
  ☆63Updated 4 years ago
• ozlerhakan / datacamp
  🍧 DataCamp data-science and machine learning courses
  ☆398Updated last year
• PacktPublishing / Hands-On-Data-Preprocessing-in-Python
  Hands-On Data Preprocessing in Python, published by Packt
  ☆194Updated 3 months ago
• krishnaik06 / Complete-Feature-Selection
  ☆192Updated 4 years ago
• trainindata / feature-engineering-for-time-series-forecasting
  Code repository for the online course "Feature Engineering for Time Series Forecasting".
  ☆189Updated last year
• PacktPublishing / EngineeringMLOps
  Engineering MLOps, published by Packt
  ☆188Updated 2 years ago
• DerekKane / Use-Cases-Data-Science
  A list of working examples of Data Science Use Cases and Applications by Industry
  ☆63Updated 5 years ago
• raytroop / FeatureEngineering
  Feature Engineering for Machine Learning, Soledad Galli
  ☆32Updated last year
• rasgointelligence / feature-engineering-tutorials
  Data Science Feature Engineering and Selection Tutorials
  ☆286Updated 2 months ago
• youssefHosni / Hands-On-Time-Series-Analysis-with-Python
  Practical guidance for time series analysis in Python
  ☆315Updated last month
• youssefHosni / Efficient-Python-for-Data-Scientists-Book
  Official Repo for the Efficient Python for Data Scientists Book. You can buy the book from here:
  ☆572Updated 7 months ago
• solegalli / Python-Feature-Engineering-Cookbook-Second-Edition
  ☆12Updated last year
• 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…
  ☆743Updated 2 months ago
• honghanhh / coursera-practical-data-science-specialization
  Solutions on Practical Data Science Specialization on Coursera (offered by deeplearning.ai)
  ☆60Updated 3 years ago
• archd3sai / Customer-Survival-Analysis-and-Churn-Prediction
  In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calcul…
  ☆218Updated 2 years ago
• PacktPublishing / Machine-Learning-for-Imbalanced-Data
  Machine Learning for Imbalanced Data, published by Packt
  ☆277Updated 7 months ago