feature-engine / feature-engine-examples

Related projects ⓘ

Alternatives and complementary repositories for feature-engine-examples

• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆50Updated 2 months ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆57Updated last year
• 6chaoran / jupyter-summarytools
  summarytools in jupyter notebook
  ☆96Updated 2 months ago
• AutoViML / pandas_dq
  Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.
  ☆126Updated 10 months ago
• khuyentran1401 / cicd-mlops-demo
  Demo for CI/CD in a machine learning project
  ☆93Updated last year
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆81Updated last year
• khuyentran1401 / reproducible-data-science
  Tutorials on creating a reproducible and maintainable data science project
  ☆137Updated 2 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆88Updated 10 months ago
• RCdeWit / dtc-workshop
  Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop
  ☆34Updated 11 months ago
• khuyentran1401 / detect-data-drift-pipeline
  A pipeline to detect data drift and retrain the model when there is drift
  ☆22Updated last year
• solegalli / Python-Feature-Engineering-Cookbook-Second-Edition
  ☆11Updated 5 months ago
• Schots / mlops_project
  an end-to-end mlops project
  ☆33Updated last year
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆39Updated last year
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆110Updated last year
• ysraell / forecasting
  Forecasting: Principles and Practice
  ☆30Updated 3 years ago
• kaislar / ds_template
  ☆38Updated 2 years ago
• smazzanti / tds_features_important_doesnt_mean_good
  ☆32Updated last year
• Paulescu / build-and-deploy-real-time-feature-pipeline
  Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
  ☆124Updated last year
• jeremyarancio / reservation_cancellation_prediction
  Predict if a reservation will be canceled using robust Machine Learning pipelines with Airflow and Mlflow
  ☆57Updated 9 months ago
• Paulescu / real-time-ohlc-with-bytewax
  Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit
  ☆123Updated 6 months ago
• KishManani / m5-forecasting-tutorial
  An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.
  ☆14Updated last year
• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆36Updated 2 months ago
• atreadw1492 / software_engineering_for_data_scientists
  ☆10Updated last year
• kennethleungty / End-to-End-AutoML-Insurance
  An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell
  ☆73Updated 2 years ago
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆26Updated last year
• hyunjoonbok / Python-Projects
  Portfolio in Python
  ☆41Updated last year
• Adrien-df / reconciliation_hts
  Package for reconciliation of hierarchical time series - de Forceville Adrien
  ☆9Updated 2 years ago
• AutoViML / deep_autoviml
  Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…
  ☆120Updated 6 months ago
• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆64Updated 8 months ago
• kelvnt / data-drift-detector
  Developmental tools to detect data drift
  ☆11Updated 8 months ago