Pinned Repositories
ab-testing
Storing the work I produced during Uplimit's 4-week Practical A/B Testing course.
algorithmic-trading
Algorithmic trading strategies implemented on generated stock price data using Python
aristaeus-project
Mapping the change in healthy bee environments from Jan-May 2020 in the UK and Ireland due to COVID-19 pandemic.
bcmp
c-abbott.github.io
Blog
md-simulator
Molecular dynamics simulator.
pde-solver
PDE solver applied to Cahn-Hilliard, Poisson and Maxwell's Equation(s)
RL-Algorithms
A set of implementations of common RL algorithms such as greedy bandits, DDPG, and Q-learning
sample-size-calculator
A React app for determining the sample size needed (per variation) for different types of A/B tests
surviving-the-icu
My master's thesis on observational causal inference in neurosurgery
c-abbott's Repositories
c-abbott/cifar-classification
Using deep convolutional neural networks implemented in PyTorch (VGG08 & VGG38) to classify images in the CIFAR-100 dataset.
c-abbott/sample-size-calculator
A React app for determining the sample size needed (per variation) for different types of A/B tests
c-abbott/ab-testing
Storing the work I produced during Uplimit's 4-week Practical A/B Testing course.
c-abbott/bcmp
c-abbott/c-abbott.github.io
Blog
c-abbott/course-dbt
Analytics engineering with dbt - projects and developer environment
c-abbott/cuisine-prediction
c-abbott/RL-Algorithms
A set of implementations of common RL algorithms such as greedy bandits, DDPG, and Q-learning
c-abbott/surviving-the-icu
My master's thesis on observational causal inference in neurosurgery
c-abbott/big_spender
Expense tracker app written in Flutter
c-abbott/blog
c-abbott/causal_thesis
c-abbott/corise-dagster
c-abbott/dagster_university
c-abbott/dbt-fundamentals
c-abbott/devops-week-2
c-abbott/devops-week1
All Code and Files for Intro to DevOps Week 1 Project
c-abbott/dice_roller
my first flutter project
c-abbott/dme-2021
c-abbott/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
c-abbott/f1-dataviz
A Data Science project concerning the 2019 F1 season.
c-abbott/lego-dplyr-data-analysis
A Data Science project concerning the tidying and analysis of a LEGO sales dataset.
c-abbott/newton-optimizer
Writing a Newton optimiser from scratch in R.
c-abbott/overstat
c-abbott/personalised-recs-at-scale
Solutions to CoRise course
c-abbott/phd_thesis_markdown
Template for writing a PhD thesis in Markdown
c-abbott/quiz_app
flutter quiz app
c-abbott/scottish-transport-analysis
A Data Science project exploring the UK Department for Transport's data on Scottish roads.
c-abbott/tfl-crowding
c-abbott/the-algorithm
Source code for Twitter's Recommendation Algorithm