Classifying Images with PyTorch

Posted by Jack McKew on Mon 26 February 2024 in Python • Tagged with python, visualisation, machine learning, ai • 9 min read

Neural networks are something you hear about constantly in the world of machine learning, so in this post we're going to build, train and test a neural network to classify images with PyTorch! We will be using the CIFAR-10 dataset (CIFAR stands for Canadian Institute for Advanced Research), and it's …


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Recurrent Neural Networks with PyTorch

Posted by Jack McKew on Wed 07 February 2024 in Python • Tagged with python, visualisation, machine learning, ai • 11 min read

Weather affects every single human on earth for the better or worse, and we've come to rely on weather predictions in order to plan how we spend our day. But how can we predict the weather? In this post we're going to develop a machine learning model with recurrent neural …


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Combining Machine Learning Models in Python

Posted by Jack McKew on Thu 21 September 2023 in Python • Tagged with python, visualisation, machine learning, ai • 3 min read

Now that we've built & trained logistic regression and decision tree models to classify the iris dataset in these previous posts:

We found that they were both really good in their own regard (potentially overfitting), but what if we had two models …


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Decision Tree Classifiers in Python

Posted by Jack McKew on Tue 15 August 2023 in Python • Tagged with python, visualisation, machine learning, ai • 1857 min read

What are decision trees? It's a tool to assist with making decisions, in a tree like structure, similar to a flow chart; where each branch of the tree is a decision, usually made with some boundaries that decide which branch to follow. A basic decision tree could be of a …


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Logistic Regression with PyTorch

Posted by Jack McKew on Sun 06 August 2023 in Python • Tagged with python, visualisation, machine learning, ai • 17 min read

In this post we'll go through a few things typical for any project using machine learning:

  1. Data exploration & analysis
  2. Build a model
  3. Train the model
  4. Evaluate the model

While this is a very high level overview of what we're about to do. This process is almost the same in any …


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Australia Post Codes Connected

Posted by Jack McKew on Mon 29 May 2023 in Python • Tagged with python, visualisation • 4 min read

Have you ever wondered what the sequence to postcodes is? Ever wondered who your postcode neighbour was? I definitely have, so I've built a visualisation to do exactly that, and made it interactive for everybody to play around with!

Before we get into any of the processing, let's take a …


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Typography With Matplotlib

Posted by Jack McKew on Fri 08 January 2021 in Python • Tagged with python, visualisation • 3 min read

Typography is 'the style and appearance of printed matter', so in this post we're going to make some typography art with Matplotlib, we're going to make use of some text and colour the words which are colours themmselves (eg, the colour red will be coloured red). This is an interesting …


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Define Functions Iteratively With Python

Posted by Jack McKew on Fri 01 January 2021 in Python • Tagged with python, software-development • 4 min read

An interesting problem came up recently, there was a piece of code absolutely full of the same function calls over and over again, meaning if anything ever need to change, that would have to be changed in over 500 places, not ideal. Thoughts go back to single responsbility, and don't …


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Differential Privacy

Posted by Jack McKew on Fri 18 December 2020 in Data Science • Tagged with datascience, python • 4 min read

It's quite clear in today's age that the biggest companies in the world, make most of their profits from harvesting and productionalising their user's data. With privacy becoming more and more of a concern in everyday life as we become more connected, it's almost becoming a human right for our …


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Property Based Testing in Python

Posted by Jack McKew on Fri 16 October 2020 in Python • Tagged with python, software-development • 4 min read

Building software can be challenging, but maintaining it after that initial build can be even moreso. Being able to test the software such that it verifies the software behaves as expected is crucial in building robust software applications that users depend upon, being able to automate this testing is even …


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