Alternatives and similar repositories for webinars

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

• thiyangt / seer
  Feature-based Forecast Model Selection (FFORMS)
  ☆78Updated 2 years ago
• STATWORX / bounceR
  Automated Feature Selection
  ☆65Updated 6 years ago
• ModelOriented / DALEX-docs
  Documentation for the DALEX project
  ☆36Updated last year
• ModelOriented / DALEXtra
  Extensions for the DALEX package
  ☆67Updated last year
• pbiecek / breakDown
  Model Agnostics breakDown plots
  ☆103Updated last year
• eleafeit / testandroll
  Replication Files for Feit and Berman (2019) Test & Roll: Profit-Maximizing A/B Tests, Marketing Science.
  ☆22Updated 5 years ago
• ModelOriented / shapper
  An R wrapper of SHAP python library
  ☆58Updated 2 years ago
• pbiecek / ema
  Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
  ☆192Updated last year
• ModelOriented / iBreakDown
  Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)
  ☆83Updated last year
• MatCyt / Markov-Chain
  R based marketing attribution and basic budget optimization using Markov Chains
  ☆52Updated 5 years ago
• bachmannpatrick / CLVTools
  R-Package for estimating CLV
  ☆58Updated last week
• bgreenwell / fastshap
  Fast approximate Shapley values in R
  ☆125Updated 3 months ago
• redichh / ShapleyR
  Package for a nice and smoothe usage of the shapley value for mlr
  ☆26Updated 6 years ago
• pridiltal / stray
  stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf
  ☆59Updated last year
• bgreenwell / pdp
  A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.
  ☆98Updated 3 years ago
• topepo / odsc-2019
  Notes and code for "Modeling in the tidyverse" 90m workshop at ODSC East
  ☆13Updated 6 years ago
• ymattu / MlBayesOpt
  R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with g…
  ☆48Updated 5 years ago
• mike-lawrence / bayes_days
  R & Stan code associated with my "Bayes Days" workshop
  ☆14Updated 9 years ago
• praktiskt / featuretoolsR
  An R interface to the Python module Featuretools
  ☆50Updated 5 years ago
• andrija-djurovic / PDtoolkit
  Collection of Tools for PD Rating Model Development and Validation
  ☆16Updated last year
• WinVector / BigDataRStrata2017
  All material for "Modeling big data with R, sparklyr, and Apache Spark" Strata Hadoop 2017.
  ☆63Updated 5 years ago
• dalpozz / unbalanced
  Package that implements several techniques to re-balance or remove noisy instances in unbalanced datasets.
  ☆32Updated 3 years ago
• eleafeit / ab_test
  Advanced A/B Testing Workshop
  ☆19Updated 4 years ago
• pbiecek / ceterisParibus
  Ceteris Paribus Plots (What-If plots) for explanations of a single observation
  ☆42Updated 5 years ago
• klarsen1 / gampost
  ☆78Updated 10 years ago
• business-science / correlationfunnel
  Speed Up Exploratory Data Analysis (EDA)
  ☆139Updated last year
• holub008 / xrf
  eXtreme RuleFit (sparse linear models on XGBoost ensembles)
  ☆43Updated 2 years ago
• vdorie / treatSens
  ☆16Updated last year
• business-science / modeltime.h2o
  Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.
  ☆44Updated last year
• MarcinKosinski / RonAWS
  ☆16Updated 4 years ago