Perth .Net user group talk
Predicting BS using ML.Net Machine learning is typically the realm for R/Python. But can .Net move into this space? In this talk we will run through Microsoft’s new ML.Net framework including what it currently offers, […]
Author: christo
Charge Id – Deploying a ML.Net Model to Azure
In the previous post we built a machine learning model using ML.Net, in this post we will deploy the model to an Azure app and allow it to be used via a HTTP API Using […]
Charge Id – The prediction model
In this post we will build a prediction model using ML .Net to classify an individual bank transaction into a pre-defined group using the description text. We will then evaluate the effectiveness of the model […]
Charge Id – Analysing the data
So what are we trying to do here? Hypothesis Given a users bank statement we will be able to predict (within a statistical confidence level ) the transactions within a period into categories & sub […]
Charge Id – solution overview
The proposed solution sequence flow follows: Posts in this series Charge Id – scratching the tech itch [ part 1 ]Charge Id – lean canvas [ part 2 ]Charge Id – solution overview [ […]
Charge Id – Lean Canvas
Lean Canvas Problem This is the start of a series of blog posts where I try to build an online personal budgeting system. The motivation for this was me trying to do a household budget […]
Charge Id – What is the problem?
This is the start of a series of blog posts where I try to build an online personal budgeting system. The motivation for this was me trying to do a household budget using existing tools […]
Word prediction with Natural Language Processing
Final Report for DataScience Capstone Word prediction with Natural Language Processing Chris McKelt December 2017 Introduction This report outlines the methodology for building a word prediction application using Natural Language Processing techniques as part of […]
Trello with GetCorrello as an Agile Kanban Tool
After initially using Trello with ‘Scrum for Trello’‘ to run our companies Agile process and having to manually create burn downs and release estimates with Excel (after mangling data from the Trello API and a […]
Coursera Practical Machine Learning – Prediction Assignment
Coursera Practical Machine Learning – Prediction Assignment Chris McKelt 17 September 2017 Introduction Executive summary Background Goal Data Obtaining Data Data Exploration Cleaning Data Training Model build – Random Forest Prediction – Random Forest Model […]