mrtkp9993 / Statistical-Modeling-Examples

Related projects ⓘ

Alternatives and complementary repositories for Statistical-Modeling-Examples

• mpstewart1 / Articles
  Miscellaneous repository for code content related to my Medium posts.
  ☆9Updated 4 years ago
• mrtkp9993 / DeepLearningExamples
  Deep learning examples with Python and Tensorflow & Keras.
  ☆23Updated last year
• anup50695 / RtutoR
  Tutorial Apps for Learning R
  ☆17Updated 6 years ago
• ModelOriented / DALEX-docs
  Documentation for the DALEX project
  ☆34Updated 8 months ago
• machow / tidytuesday-py
  ☆32Updated 4 years ago
• m-clark / data-processing-and-visualization
  This document forms the basis of several workshops/talks that get into everyday programming with R, but also includes mirrored code in Py…
  ☆31Updated 4 years ago
• dfalbel / capsnet
  CapsNet implementation in keras for R
  ☆12Updated 6 years ago
• PacktPublishing / R-Deep-Learning-Cookbook
  R Deep Learning Cookbook, published by Packt
  ☆30Updated last year
• talfco / clb-sentiment
  Start your journey into social media analysis of politicans by using Python (Tutorial)
  ☆21Updated 5 years ago
• MI2DataLab / XAI-tools
  ☆28Updated 3 years ago
• risenW / Practical_feature_engineering_guide
  A detailed guide to feature engineering for machine learning in Python
  ☆24Updated 4 years ago
• matthewbrems / jupytercon-missing-data-2018
  JupyterCon Missing Data Talk 2018
  ☆23Updated 6 years ago
• arvindbetrabet / Practical_Statistics_for_Data_Scientists
  This repository has the Python equivalent code for the book Practical Statistics for Data Scientists: 50 Essential Concepts, by Peter Br…
  ☆35Updated 6 years ago
• fonnesbeck / enar_2019_tutorial
  A Primer on Python for Statistical Programming and Data Science
  ☆26Updated 5 years ago
• jbkunst / klassets
  ☆64Updated last year
• ModelOriented / auditor
  Model verification, validation, and error analysis
  ☆58Updated 10 months ago
• unravelin / code-test-data-science
  Data Scientist code test
  ☆19Updated 4 years ago
• clbustos / dominanceAnalysis
  Dominance Analysis (Azen and Bodescu), for multiple regression models: OLS (univariate, multivariate), beta regression, Dynamic Linear Mo…
  ☆24Updated 8 months ago
• business-science / modeltime.h2o
  Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.
  ☆40Updated 10 months ago
• XanderHorn / autoEDA
  Automated exploratory data analysis
  ☆80Updated 5 years ago
• ModelOriented / iBreakDown
  Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)
  ☆81Updated 11 months ago
• cwerner / covid19
  Dashboard for the COVID19 spread
  ☆24Updated 8 months ago
• nanxstats / enpls
  Algorithmic framework for measuring feature importance, outlier detection, model applicability evaluation, and ensemble predictive modeli…
  ☆18Updated 2 years ago
• pridiltal / stray
  stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf
  ☆58Updated 11 months ago
• valdanchev / reproducible-data-science-python
  Reproducible Data Science with Python
  ☆20Updated last year
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆51Updated last year
• szilard / talks-main
  Most recent/important talks given at conferences/meetups
  ☆15Updated 3 years ago
• PacktPublishing / Hands-On-Time-Series-Analysis-with-R
  Hands-On-Time-Series-Analysis-with-R
  ☆106Updated last year
• amrrs / drag_drop_ggplot_esquisse
  This code is to demonstrate the use of esquisse to generate ggplot2 with drag and drop
  ☆9Updated 6 years ago