Jodie Burchell's repositories
R-graphing-tutorials
Collection of tutorials/blog posts for graphing in R
vectorising-python
A collection of tutorials for using numpy functions to speed up data science code
text-to-vectors
Repo containing supporting notebooks for "Text to vectors ... ?" presentation
dive-into-machine-learning
Dive into Machine Learning with Python Jupyter notebook and scikit-learn
Blog-posts
A place for draft blog posts before deploying onto the website
feature-trainer-ds-demos
A repo containing all of the required files for setting up the DS/PY data science demos for upcoming conferences in 2023.
life-expectancy-analysis
A regression analysis to predict 2015 life expectancies from the WHO GHO dataset
t-redactyl.github.io
Octopress-based blog repo
a-demo-repo
A repo to demonstrate how to commit stuff to Github
fortran95-tutorial
Basic exercises in Fortran 95 from http://www.fortrantutorial.com/basics/index.php
grad-dipl-maths-notes
A collection of my personal notes while completing my Graduate Diploma in Mathematics
gresearch-questions
Test notebooks for answering G-Research Jupyter questions
intro_to_sprinting_codeless_project
A sample "code-less" project in support of the "Intro to Sprinting" workshop.
making-games-with-pygame
Working through the exercises from Making Games with Python & Pygame: https://inventwithpython.com/makinggames.pdf
my-versioned-workspace
Repo to demonstrate using Git with DataSpell
naive-bayes-with-aws-sagemaker
This repo contains the code files and Jupyter notebooks for an analysis I did to learn how to use scikit-learn in AWS Sagemaker. The analysis is a classification problem, where I predicted the correct category for products using the Amazon Reviews dataset.
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
reproducible-research
Resources for the talk "Building Reproducibility Into Your Data Science Projects With Datalore"
roboblog
My blog is alive!
scikit-learn
scikit-learn: machine learning in Python
text-mining
Series on text mining topics
text2num
Python library to convert textual numbers to integers
twitter_api_new_years_analysis
Pulling 'New Years resolution' tweets from the Twitter API and playing with the resulting data
vaderSentiment
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
which-visualization-to-use
A repository containing code to accompany a blog post on "Picking the right data visualization".