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advanced-python-language-features-4311093

This repo is for the Linkedin Learning course: Advanced Python: Language Features

advanced_r_programming

awesome-quarto

A curated list of Quarto talks, tools, examples & articles! Contributions welcome!

covid-19-the-economist-global-excess-deaths-model

The Economist's model to estimate excess deaths to the covid-19 pandemic

data-screencasts

Code from live exploratory analyses of data in R

datasciencecoursera

data science courses

datasharing

The Leek group guide to data sharing

football-data-analysis-and-prediction

hello-quarto-demo

Repository for the demos in the "Hello, Quarto!" talk

interpretable-ml-book

Book about interpretable machine learning

learning_projetcs

This project is for learning different Data Science skills

machine-learning-in-r

This repository contains my ML scripts in R

maidrr

Model-Agnostic Interpretable Data-driven suRRogate

mortality_bgam

Code for the paper "Projecting UK Mortality using Bayesian Generalised Additive Models"

my-book-library

my books organized by topics

optimalgridsearch

A short example of Bayesian gridsearch with a mortality model

predicting_winning_teams

This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

project-outreach

Analyzed 3 years of MTA subway fare data to find correlations between time and traffic volumes.

project_mlbmda

pymc-examples

Examples of PyMC models, including a library of Jupyter notebooks.

quarto-web

Quarto website

r-graph-gallery

A website that displays hundreds of R charts with their code

resume_fred

This repository contain a code to generate CV or Resume using the `{pagedown}` R package

rnssp-rmd-templates

Rnssp R Markdown templates

ruser_quarto_presenation

This is the repos containing the materials for presentation using quarto

tmwr

Code and content for "Tidy Modeling with R"

webinars

Repository for the NHS-R Community Webinars

week3assignment