Sundar0989 / model-interpretability

Related projects ⓘ

Alternatives and complementary repositories for model-interpretability

• vcerqueira / MLforForecasting
  Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
  ☆39Updated 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 5 years ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• mllite / sklearn_explain
  Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
  ☆13Updated 3 years ago
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆18Updated last year
• luisroque / bayesian_time_series
  Machine Learning models using a Bayesian approach and often PyMC3
  ☆25Updated 3 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆50Updated last year
• aws-samples / churn-prediction-with-text-and-interpretability
  Predict customer churn with text and interpretability.
  ☆11Updated 3 years ago
• kylegallatin / mlops-pipeline
  ☆20Updated 3 years ago
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 2 years ago
• vcerqueira / vest
  Automatic Feature Engineering for Time Series
  ☆17Updated last year
• fastforwardlabs / structural-time-series
  Structural Time Series on US electricity demand data
  ☆23Updated 3 years ago
• massi82 / multi-armed-bandit
  ☆11Updated last year
• KishManani / m5-forecasting-tutorial
  An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.
  ☆14Updated last year
• tensorchiefs / dl_course_2020
  The 2020 Version of the Deep Learning Course
  ☆8Updated 4 years ago
• sachinruk / bayes_school
  ☆16Updated 5 years ago
• grahamharrison68 / Public-Github
  Repository for GH public projects
  ☆17Updated 8 months ago
• AlxndrMlk / blogs-code
  Code for blog posts.
  ☆17Updated last year
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆37Updated 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
• gmorinan / trekviz
  Streamlit dashboard of StarTrek character interactions
  ☆10Updated last year
• alteryx / predict-household-poverty
  Predict the poverty of households in Costa Rica using automated feature engineering.
  ☆23Updated 4 years ago
• alteryx / DL-DB
  Deep learning for time-varying multi-entity datasets
  ☆17Updated 6 years ago
• cliffclive / datasciencemvp
  Data Science template for quickly setting up a project workflow; lightweight version of cookiecutter datascience.
  ☆15Updated 5 years ago
• rakshitha123 / Localised_Ensembles
  This repository contains the experiments of our paper titled, "Ensembles of Localised Models for Time Series Forecasting" which is online…
  ☆14Updated 2 years ago
• yuyuhan0306 / Yelp_CRM_NLP
  Digged into negative reviews, conducted NLP techniques such as sentiment analysis, text processing, n-gram modeling and then created a re…
  ☆12Updated 7 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• stefan-jansen / topic-modeling
  ☆14Updated last year
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆36Updated 5 years ago
• finlytics-hub / churn_model-survival-analysis
  ☆13Updated 4 years ago