Alternatives and similar repositories for Categoricaloutlier:

Users that are interested in Categoricaloutlier are comparing it to the libraries listed below

• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• vcerqueira / MLforForecasting
  Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
  ☆40Updated 5 years ago
• ag-ds-bubble / tseuler
  A library for Time-Series exploration, analysis & modelling.
  ☆17Updated 4 years ago
• edkrueger / covid-forecast
  A streamlit app that uses fbprophet for forecasting COVID
  ☆10Updated 2 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago
• koaning / scikit-prune
  Prune your sklearn models
  ☆19Updated 3 months ago
• DiegoUsaiUK / Propensity_Modelling
  Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
  ☆27Updated 2 years ago
• smazzanti / valicast
  Validation for forecasts
  ☆18Updated last year
• finlytics-hub / churn_model-survival-analysis
  ☆13Updated 4 years ago
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 2 years ago
• Brett-Kennedy / CountsOutlierDetector
  Interpretable, intuitive outlier detector intended for categorical and numeric data.
  ☆9Updated 8 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 3 weeks ago
• jphall663 / kdd_2019
  Paper and talk from KDD 2019 XAI Workshop
  ☆20Updated 4 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆37Updated 2 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆36Updated 5 years ago
• AlexIoannides / lime-interpretable-ml
  An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learn…
  ☆15Updated 6 years ago
• sktime / sktime-tutorial-pydata-berlin-2022
  ☆39Updated 2 years ago
• MaxHalford / naked
  The simplest way to deploy a machine learning model
  ☆23Updated 2 years ago
• dushyantkhosla / ts-forecasting-ensemble
  CentOS based Docker container for Time Series Analysis and Modeling.
  ☆21Updated 5 years ago
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆18Updated 2 years ago
• darenasc / auto-eda
  Automated Exploratory Data Analysis. Simplifying Data Exploration
  ☆34Updated 4 years ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 2 years ago
• kurtispykes / twitter-sentiment-analysis
  Creating a Gradio user interface to predict the sentiment of a tweet
  ☆12Updated 3 years ago
• kennethleungty / COVID19-Vaccine-Sentiment-Analysis
  Sentiment Analysis of COVID-19 Vaccine-related Twitter Data
  ☆10Updated 3 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated last year
• SimonOuellette35 / PyData-talk---Intro-to-PyMC3
  Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"
  ☆13Updated 5 years ago
• IDA-HumanCapital / fife
  Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting
  ☆23Updated 11 months ago
• nickc1 / sklearn_fastapi
  Building an API with the FastAPI framework to serve a scikit-learn model.
  ☆18Updated 6 years ago
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆25Updated 2 years ago
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 5 years ago