Jodie Burchell

llm-semantic-book-recommender. The code to accompany the freeCodeCamp tutorial explaining how to use large language models to build a semantic book recommender.

simple-rag-document-qa. A simple RAG application for doing question-answering on a PDF document. Uses the PyCharm documentation as the source document and langchain to build the RAG pipeline.

can-you-trust-your-model. Resources for my talk, "Can you trust your (large language) model", given as a keynote at NDC Porto 2024.

truthfulqa-evaluation. Jupyter Notebook

ai-is-having-its-moment-again. Sources and slides for my keynote: "AI is having its moment ... again"

R-graphing-tutorials. Collection of tutorials/blog posts for graphing in R

Python-for-data-analysis. Notes and exercises from the book "Python for Data Analysis" by Wes McKinney

vectorising-python. A collection of tutorials for using numpy functions to speed up data science code

mirror-mirror. Materials for talk "Mirror, Mirror: LLMs and the Illusion of Humanity"

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

Practical-Programming-exercises. Exercise and notes from 'Practical Programming: An Introduction to Computer Science Using Python (1st edition)'

pycon-us-demos.

PRAW-experiments. Some experiments using PRAW and web scraping with Reddit

MovieLens-analysis. Analyses on MovieLens database

beginners-data-workshop. Humble Data aims to increase inclusivity and provide a safe community for Python and Data Science. We organise free workshops for people who are outside of the mainstream in the data science and tech industry.

Blog-posts. A place for draft blog posts before deploying onto the website

scikit-learn. scikit-learn: machine learning in Python

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

r-reproducible. HTML

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

zmPDSwR. Example R scripts and data for "Practical Data Science with R" by Nina Zumel and John Mount (Manning Publications)

R-programming-learning-scripts. A collection of scripts created for R learning exercises