adrianolszewski / model-based-testing-hypotheses
Testing hypotheses through statistical models opens a universe of new possibilities. Learn how to improve your daily work with this approach.
☆81Updated last year
Alternatives and similar repositories for model-based-testing-hypotheses:
Users that are interested in model-based-testing-hypotheses are comparing it to the libraries listed below
- Biostatistics resources : reading list, RMarkdown notebooks, and more!☆70Updated 3 weeks ago
- Despite the popular yet wrong claim that logistic regression "is not a regression", it's one of the key regression and hypothesis testing…☆29Updated 3 weeks ago
- Applied Time Series Analysis and Forecasting☆166Updated 2 years ago
- Materials for the useR!2024 conference workshop "Deploy and Monitor ML Pipelines with R, Open Source, and Free Applications"☆56Updated this week
- Deploying flexdashboard on Github Pages with Docker and Github Actions☆216Updated last year
- A guide for deploying Shinylive Python application into Github Pages☆134Updated last year
- A Tutorial for Setting R Development Environment with VScode, Dev Containers, and Docker☆265Updated 8 months ago
- ☆33Updated 7 months ago
- Source for book "Feature Engineering A-Z"☆140Updated this week
- Materials for the AI Dev 2024 conference workshop "Deploy and Monitor ML Pipelines with Python, Open Source, and Free Applications"☆93Updated this week
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆92Updated last week
- (WIP) Getting started with Docker - An introduction to Docker with data science and engineering applications☆129Updated last year
- Python for Data Science. This repository hosts the code behind the online book that teaches you how to use Python for data science.☆136Updated 3 months ago
- ☆16Updated last year
- Resources for Survival Analysis☆93Updated 6 months ago
- Slides to accompany Forecasting: Principles and Practice, 3rd edition☆73Updated last year
- ☆107Updated 11 months ago
- ☆80Updated 11 months ago
- A tutorial for setting a new machine with core data science tools☆291Updated 3 months ago
- Materials for R-Ladies Abuja geospatial visualization workshop☆14Updated 3 years ago
- This repository contains slides from some of the classes I have taught in my career. The repository will be updated from time to time. I…☆33Updated 2 months ago
- StatsResourcesHub: Your go-to repository for all things statistics and programming. Find tutorials, code samples, and tips in Python, R,…☆52Updated 7 months ago
- Trees are all you need☆114Updated 10 months ago
- I'm learning ML with R. Focusing on (but not limiting myself to) tidyverse and tidymodels.☆16Updated 4 months ago
- Lecture Notes on Statistical Inference☆76Updated 6 months ago
- ☆201Updated 2 years ago
- A book on DevOps for Data Scientists with CRC Press.☆163Updated 3 months ago
- Supplemental R Examples on Applied Conformal Prediction. These examples follow Practical Guide to Applied Conformal Prediction in Python,…☆42Updated last year
- siMMMulator is an open source R-package that helps users to generate simulated data to plug into Marketing Mix Models (MMMs). The package…☆49Updated last year
- How to run Python ML models in R☆16Updated 4 years ago