Michael Pearmain's repositories
BayesBoost
Bayesian Optimization using xgboost and sklearn API
isotonicPMML
A simple implementation to convert python sklearn IsotonicRegression to PMML language
data_contracts_sandbox
This is a repo designed to show the workflow of a data contract, with pre-commit hooks and GitHub Actions on how to have the contract power a data platform
kaggle-redhat
Kaggle Redhat competition
ModelUtils
A set of model utility Classes and functions in python
dotfiles
My dotfiles. Buyer beware ;)
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
blogs
Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
datacontract-cli
CLI to manage your datacontract.yaml files
EA-metrics
P.O.C repo showcasing examples of metrics that can be used for EA groups
etl-pipeline
cookie-cutter example for new etl projects
falcon-langchain
Falcon LLM with Chat UI using LangChain and Chainlit
FCBF_module
Fast Correlation-Based Feature Selection
forml
Lifecycle management framework for Data science projects
Monitoring-Ships-at-Sea
Developed a model to predict the next destination of a given ship using AIS data and supervised machine learning techniques.
quickdraw-dataset
Documentation on how to access and use the Quick, Draw! Dataset.
shape-detection
Object recognition on abstract shapes with neural networks
supervised-contextual-bandits
Python implementation of contextual bandits using supevised learners as experts.