Michael Pearmain (mpearmain)

mpearmain

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Location:London

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Michael Pearmain's repositories

BayesBoost

Bayesian Optimization using xgboost and sklearn API

gestalt

A helper library for data science pipeline

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homesite

Homesite Kaggle

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bnp

Kaggle BNP Paribus challenge

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gstore

Kaggle Gstore competition

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isotonicPMML

A simple implementation to convert python sklearn IsotonicRegression to PMML language

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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

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kaggle-redhat

Kaggle Redhat competition

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merc

Kaggle Mercedes

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ModelUtils

A set of model utility Classes and functions in python

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dotfiles

My dotfiles. Buyer beware ;)

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BayesianOptimization

A Python implementation of global optimization with gaussian processes.

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blogs

Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/

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datacontract-cli

CLI to manage your datacontract.yaml files

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DTO

Example contracts and code for digital twin for onboardig customer journey in a digital bank

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EA-metrics

P.O.C repo showcasing examples of metrics that can be used for EA groups

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etl-pipeline

cookie-cutter example for new etl projects

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falcon-langchain

Falcon LLM with Chat UI using LangChain and Chainlit

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FCBF_module

Fast Correlation-Based Feature Selection

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forml

Lifecycle management framework for Data science projects

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Monitoring-Ships-at-Sea

Developed a model to predict the next destination of a given ship using AIS data and supervised machine learning techniques.

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quickdraw-dataset

Documentation on how to access and use the Quick, Draw! Dataset.

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shape-detection

Object recognition on abstract shapes with neural networks

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supervised-contextual-bandits

Python implementation of contextual bandits using supevised learners as experts.

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