Better every day on GeorgeKan

Netlify

Sat, 02 Jan 2021 00:00:00 +0000

So far, we’ve been leveraging GitHub Pages for publishing. This works great, but for blogdown we’ll start using Netlify. Let’s start RIGHT NOW with a site we’ve already built and published. Pre-requisites Pick either your postcards site, or your distill site from day 01. Refresh your memory- which repository was it again?

A GitHub profile

Fri, 01 Jan 2021 00:00:00 +0000

Profile https://docs.github.com/en/github/setting-up-and-managing-your-github-profile/personalizing-your-profile Pin projects to profile https://docs.github.com/en/github/setting-up-and-managing-your-github-profile/pinning-items-to-your-profile Profile README This is new! Let’s do it: https://docs.github.com/en/github/setting-up-and-managing-your-github-profile/managing-your-profile-readme

Prework

Fri, 01 Jan 2021 00:00:00 +0000

Welcome to the Introducing Yourself Online workshop! We look forward to meeting you. Before attending the workshop, please complete the following prework. Set up RStudio Cloud Sign up for a free RStudio Cloud account at https://rstudio.cloud/ before the workshop. I recommend logging in with an existing Google or GitHub account, if you have one (rather than creating a new account with another password you have to remember).

A postcard

Sat, 02 Jan 2021 00:00:00 +0000

Pre-requisites First, make sure you have the latest version of the postcards package installed from CRAN: install.packages("postcards") Restart your R session. If you use RStudio, use the menu item Session > Restart R or the associated keyboard shortcut: Ctrl + Shift + F10 (Windows and Linux) or Command + Shift + F10 (Mac OS). packageVersion("postcards") [1] ‘0.2.0’ Create GitHub repo Online.

Using blogdown

Fri, 01 Jan 2021 00:00:00 +0000

Pre-requisites First, make sure you have the latest version of the blogdown package installed from CRAN: install.packages("blogdoown") Restart your R session. If you use RStudio, use the menu item Session > Restart R or the associated keyboard shortcut: Ctrl + Shift + F10 (Windows and Linux) or Command + Shift + F10 (Mac OS). packageVersion("blogdown") [1] ‘1.0’ Create GitHub repo Online.

A distill site

Sat, 02 Jan 2021 00:00:00 +0000

Pre-requisites First, make sure you have the latest version of the distill package installed from CRAN: install.packages("distill") Restart your R session. If you use RStudio, use the menu item Session > Restart R or the associated keyboard shortcut: Ctrl + Shift + F10 (Windows and Linux) or Command + Shift + F10 (Mac OS).  packageVersion("distill") [1] ‘1.2’ Create GitHub repo Online.

Warm woolen mittens

Sat, 02 Jan 2021 00:00:00 +0000

Hi, I'm the here-bot cat! Use me to find your way in your website. Here I am: content/collection/day02/03-blogdown/index.md To remove me, delete this line inside that file: {{< here >}} My content section is: collection My layout is: single-series part 2! does this work? now for some very cool things more get ready!

Confidence intervals (Part 1)

Sun, 23 Jan 2022 00:00:00 +0000

Introduction Welcome to another post in my statistics series! In this post we are going to focus on confidence intervals and try to understand what is their purpose, how to construct them and how to interpret them. Definition In a previous post we talked about estimators, desirable properties and how they can be used to estimate quantities of interest. For example, we might have data from a normal distribution and we would like to create an estimator for the mean of that normal.

The Normal Distribution

Sun, 16 Jan 2022 00:00:00 +0000

Introduction This is the fourth post in my statistics series and this time we are going to focus on the normal distribution. It is arguably the most important probability distribution in statistics and the key to understanding and modelling many phenomena. In this post, we will see what the normal is, how it can be manipulated and how to calculate areas under it. (Brief) History lesson The first person to “discover” the normal distribution was Abraham de Moivre, an 18th century statistician.

Blogdown and Jupyter/Colab

Sun, 26 Dec 2021 00:00:00 +0000

For my blogging purposes, I have been working so far almost exclusively with R. But since I have decided that it is time for me to deep learn❗ and therefore I have to switch to Python. Unfortunately though, my whole blog is written with Rmarkdown and Hugo so I could not find a way to easily add Python on top. Furthermore, since deep learning is the goal, using a GPU is essentially a prerequisite so I will start out using Colab.

Playing with tensors

Sun, 26 Dec 2021 00:00:00 +0000

This is my third try at understanding how to work with deep learning and in particular PyTorch. I am following the fastai course structure and I am hoping for better results this time 😅. The first step in the journey is to work a bit with the fundamental building block of PyTorch, tensors. import torch 1. Let’s create some tensors We first create a 3x5 tensor with all values equal to 1.

A basketball story

Thu, 23 Dec 2021 00:00:00 +0000

Storytelling through data. The last four decades of the NBA through visuals, narrative and pictures.

Estimators

Sun, 12 Dec 2021 00:00:00 +0000

Introduction This is the third post in my statistics series and today we are going to talk about estimators. What they are, why would we use them and what are some desirable properties that we would like them to have. Definition An estimator is a rule for calculating an estimate of a given quantity based on observed data Essentially what we learn from the definition is that an estimator is a recipe that takes in observed data and returns an estimate which we hope is a good approximation of a given quantity.

The Central Limit Theorem

Sat, 11 Dec 2021 00:00:00 +0000

Introduction This is my second post in the Statistics series. ( Previous post about the Law of Large Numbers) The aim of this series is to present various statistical topics in an easy to grasp visual way without going very deep in mathematical formulas. The topic of this post is the Central Limit Theorem. Definition The Central Limit Theorem establishes that, in many situations, when independent random variables are summed up, their properly normalized sum tends toward a normal distribution (informally a bell curve) even if the original variables themselves are not normally distributed.

The Law of Large Numbers

Wed, 08 Dec 2021 00:00:00 +0000

Introduction I decided after years of struggling to remember statistical concepts that I have to try to explain them so that: I am forced to understand them better 😄 Anybody can read and comment which can offer useful insights that I might have missed I will be able to come back to my explanation once I forget the concept Please note that this is not a very math heavy collection of posts, my goal is to get a better intuitive understanding of the concepts.

Explaining happiness

Sun, 05 Dec 2021 00:00:00 +0000

Combining datasets, multiple imputation, variable selection and interpretation to find happiness.

The Simple Path to Wealth

Thu, 25 Nov 2021 00:00:00 +0000

Investing does not have to be complicated.

Cleaning and understanding survey data

Sun, 21 Nov 2021 00:00:00 +0000

Cleaning survey data with Isolation Forest, understanding and enriching the available dataset through EDA and additional online information.

The ONE Thing

Wed, 10 Nov 2021 00:00:00 +0000

Focus on the ONE thing and achieve extraordinary results.

Atomic Habits

Mon, 01 Nov 2021 00:00:00 +0000

How to structure your life in order to achieve your long-term ambitious goals one tiny habit at a time.

The Psychology of Money

Mon, 25 Oct 2021 00:00:00 +0000

Wonderful book tackling the fact that we are emotional beings despite what economic theory tries to teach you. Various pieces of advice about how to deal with this fact when doing financial planning.

Meditations

Sun, 17 Oct 2021 00:00:00 +0000

How to live your life and what is imporant in it by one of the greatest Roman emperors.

My first blog post

Sun, 10 Oct 2021 00:00:00 +0000

This is the second time I create a blog. My first try was mainly focused on creating a repository to showcase my data science work but over time I realised that this is not the only thing I enjoy doing. While I do like to constantly learn and develop, data science was not the only area where I wanted to focus on. Therefore, I took the decision to take more control of my blog, add more categories to it in order to be able to share more content that I find interesting.

Show your work!

Sun, 26 Sep 2021 00:00:00 +0000

Show your work started it all for me. It gives you ideas and encouragement about how to share your progress with others and find an audience for your projects.

Which features matter in the NBA?

Sun, 06 Jun 2021 00:00:00 +0000

Feature engineering and selection for predicting regular season NBA games with CatBoost.

Getting hooked with PyTorch and Grad-CAM

Thu, 22 Apr 2021 00:00:00 +0000

Layer visualisation for a Resnet50 model using hooks from Pytorch and Grad-CAM.

The game of kings

Mon, 22 Mar 2021 00:00:00 +0000

EDA and predictive modeling of games played on lichess in the month of September 2020.

A campfire

Tue, 12 Jan 2021 00:00:00 +0000

I’m really excited to give this talk! Stay tuned for video and slides.

A seedling

Fri, 01 Jan 2021 14:15:59 -0600

A seedling

Mon, 13 Jan 2020 14:15:59 -0600

Contact

Mon, 25 Feb 2019 13:38:41 -0600

** Contact page don’t contain a body, just the front matter above. See form.html in the layouts folder. Formspree requires a (free) account and new form to be set up. The link is made on the final published url in the field: Restrict to Domain. It is possible to register up to 2 emails free and you can select which one you want the forms to go to within Formspree in the Settings tab.

Typography Styles & Element Examples

Mon, 18 Feb 2019 12:27:33 -0600

Font Sizes A A A A A A A A 6rem (96px) 5rem (80px) 3rem (48px) 2.25rem (36px) 1.5rem (24px) 1.25rem (20px) 1rem (16px) .875rem (14px) Type Samples Headline Subheadline Level 1 Heading One page to rule them all...well, not really. This page displays sample typography and page elements to illustrate their style. Things like headings and paragraphs showing the beautiful type scale, form elements, tabular data, and image layouts just to name a few.

Contributors

Mon, 01 Jan 0001 00:00:00 +0000

Thank you to all the folks who have contributed both technical and creative skills to this project: Desirée De Leon 🦒 (designed 5 of the custom color themes, made illustrations for the workshop, and provided general aesthetic feedback along the way) Garrick Aden-Buie 🧙‍♀️ (debugged headroom.js and lent his panelset.js code to the theme) Allison Horst 🐕 (awesome illustrations of campfires, seedlings, and evergreens, as well as my R Markdown hedgehog mascot 🦔)

License

Mon, 01 Jan 0001 00:00:00 +0000

My blog posts are released under a Creative Commons Attribution-ShareAlike 4.0 International License.