akashbaj03 / Categoricaloutlier

Related projects ⓘ

Alternatives and complementary repositories for Categoricaloutlier

• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• finlytics-hub / churn_model-survival-analysis
  ☆13Updated 4 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 2 years ago
• xtreamsrl / pytsviz
  A set of utilities to quicky analyze time series.
  ☆22Updated 3 years ago
• Didayolo / autopandas
  Process, visualize and use data easily.
  ☆20Updated last year
• 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 9 months ago
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆26Updated 2 years ago
• ashishpatel26 / datascienv
  datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest…
  ☆58Updated 3 years ago
• dataiku / dss-plugin-timeseries-forecast
  Dataiku DSS plugin to automate time series forecasting with Deep Learning and statistical models 📈
  ☆18Updated last year
• Vevesta / VevestaX
  2 Lines of code to track ML experiments + EDA + check into Github
  ☆28Updated last year
• JAVI897 / ML-Metrics
  Threshold analysis
  ☆12Updated 4 years ago
• fugue-project / tune
  An abstraction layer for parameter tuning
  ☆36Updated 2 months ago
• FlorianWilhelm / polars_vs_pandas
  Comparing Polars to Pandas and a small introduction
  ☆43Updated 3 years ago
• koaning / scikit-prune
  Prune your sklearn models
  ☆19Updated 2 weeks ago
• koaning / scikit-fairness
  this repo might get accepted
  ☆29Updated 3 years ago
• h2oai / wave-ml
  Automatic Machine Learning (AutoML) for Wave Apps
  ☆32Updated last year
• smazzanti / valicast
  Validation for forecasts
  ☆18Updated last year
• Spratiher9 / SparkDataset
  Instant search for and access to many datasets in Pyspark.
  ☆34Updated 2 years ago
• sktime / sktime-workshop-pydata-london-2022
  PyData London 2022 sktime workshop
  ☆11Updated last year
• koaning / scikit-churn
  Exploring some issues related to churn
  ☆17Updated 7 months ago
• ag-ds-bubble / tseuler
  A library for Time-Series exploration, analysis & modelling.
  ☆17Updated 3 years ago
• tirthajyoti / Synthetic-data-gen
  Various methods for generating synthetic data for data science and ML
  ☆76Updated 3 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆36Updated 5 years ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated last year
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆37Updated 2 years ago
• edkrueger / covid-forecast
  A streamlit app that uses fbprophet for forecasting COVID
  ☆10Updated last year
• zelros / cinnamon
  CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
  ☆76Updated last year
• dachosen1 / Feature-Engineering-for-Fraud-Detection
  Implementation of feature engineering from Feature engineering strategies for credit card fraud
  ☆40Updated 3 years ago
• ehart-altair / SimpsonsParadox
  Function for automatically detecting Simpson's Paradox
  ☆18Updated 3 years ago
• ogrisel / euroscipy-2022-time-series
  Tutorial on time-series forcasting with scikit-learn
  ☆36Updated last year