Jupyter Notebooks
GitHub Click to open my GitHub page
In my "free" time (as in - the time off my dental practice) I tend
to write machine learning models using Jupyter Notebooks. I
created a few during the online course I took, but most of them I
expanded on in some way. IdentiBreed (not listed here) became it's
own thing, with an app behind it and plans how on to expand the
project further - you can read up on it
right here. All the projects are done on datasets available on Kaggle. I
try to upload my notebooks there as well, but honestly their
editor seems a bit limited...
Without further ado,
let's jump into my notebooks! Click on any one of them to get
redirected straight to each repository on my GitHub.
Heart Disease ML Project
Project Conception: 4th February 2023
Last Update:
16th September 2023
These are three notebooks devoted to experimentation on the Cleveland Heart Disease dataset. Both times I actually sat down to work on it these were a learning opportunities for me - initially I learned how to set up a binary classification machine learning model using scikit-learn. The second time I created my own, simple neural network and experimented on different setups. You can explore my work by clicking this box.
Titanic Disaster ML
Project Conception: 19th March 2023
Last Update: 21st
March 2023
This is another learning experience (as all projects are to be honest). This time however I wanted to make this binary model entirely in Google Colaboratory. I created this notebook during any free minutes I had between patients at work. It follows the standard routine - I explore the dataset, make necessary changes and then create a model that in the end needs to be fine tuned. The result is quite satisfactory, but I will probably return to it some other day...
Bulldozer Prices ML Project
Project Conception: 7th April 2023
Last Update: 17th
September 2023
There's a funny story behind this notebook! I started the repository a long, long time ago. I did the entire thing - went through the EDA, modelling and experimentation and then... I forgot to upload it all to GitHub! I'm guessing it's because I jumped quickly into neural networks. Anyway - this particular project is a regression devoted one. We are working on a Kaggle competition dataset, which asks us to make a model that - based on different features including dates - will predict a price of a bulldozer that is as close to the actual price as possible.
More To Come!
If you are seeing this card here it means that there are still projects I am working on, or at least planning to begin in some time. Stay posted for more, as I will attempt to update this webstie as often as I can. If there is a project that I have not yet put here, you can see it on my GitHub page! Check the top of this page for more details.