aws-cicd

Examples of setting up CI-CD pipelines using AWS code pipeline for software delivery automation. Using CodeCommit, CodeBuild and CodeDeploy for versioning, building, testing and deploying applications in the cloud.

aws-deepracer

Participation in AWS Deep Racer Competition

aws-dev-associate-cert-prep

Preparation material for the AWS Developer Associate Certification

aws-etl-workflows

Examples of architectures using a number of database, compute and etl services in AWS

aws-ml-services

Practical use of a number of AWS automl services

aws-sagemaker

Trying out different AWS Services as practical prep for the AWS ML Certification

aws-vpc

Short project to illustrate the various AWS VPC related components/services available

bash-scripting-tutorial

A tutorial to deliver to newcomers on bash scripting

bigdataeng

A number of sample data analytics and coding tasks

cookiecutter-mle-template

dagster-expectations

playing around with dagster and trying out expectations for validation testing

dask

Parallel computing with task scheduling

databricks_spark_certification

Prep for the databricks spark 3 certification

dataviz_with_javascript

A number of projects/visualisations built with D3js and Highcharts

distributed_processing

Analysis of different libraries for distributed processing in python e.g. concurrent threading and multiprocessing, dask, vaex, pyspark etc

explainable_ai

Explaining machine learning model prediction using lime on two datasets: Image classification on Food 101 dataset and Customer churn for a telco company

fastapi-example-ml

Examples of deploying and hosting a Machine Learning Model with FastAPI

flytekit

Extensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.

flytesnacks

Flyte Documentation

gcp-batch-processing

Details some work on batch processing within Google Cloud Platform that I carried out as part of a Hackathon.

geographically-weighted-regression-and-clustering

GIS project - Use of geographically weighted regression and k-means clustering in R to investigate patterns of wellbeing in London in 2011. Includes use of shapefiles, spatial data frames and output layers for the Office for National Statistics

geospatial

Trying out different geospatial analysis techniques and libraries for transforming spatial data

google-analytics-data-cleaning

Cleaning 6 months of Google Analytics log file data in R to compute top most downloaded files

grantnav_tableau

Visualisation Dashboard in Tableau created for the 350Giving Data Visualisation Challenge Fund submission

house-prices-advanced-regression

Regression modelling (Lasso, Ridge, xgboost, SVR) and exploratory analysis of Ames, Iowa dataset. Also contains exploratory analysis of London House prices in Tableau

human-resource-analytics

Predicting if the best and most experienced employees leave prematurely - Kaggle Human Resource Analytics dataset using SVM and Multi Layer Perceptron with backpropagation

jekyll-theme-chirpy

A minimal, responsive, and powerful Jekyll theme for presenting professional writing.

learn-cantrill-io-labs

Standard and Advanced Demos for learn.cantrill.io courses

malarial-eradication-funding-eda

Work carried out for Manta Ray Media in collaboration with the Malaria Eradication Scientific Alliance. Involves Data Cleaning in R and Visualisation in Tableau for

mlops_pipelines

Trying out flyte features for various Ml workflows