@arjundakshin

Hi! This is my first parkinson’s project devlog.

I started this project around 3 months ago, and I knew nothing about machine learning then. In that time, I learnt everything I needed for my project. So far, I have made a decent pipeline to identify biomarkers.

I’m using an NCBI GEO Superseries for training, and I was planning on using a Portuguese cohort for extra real-world data tests.

Today, when I was comparing whether to use XGBoost or Random Forest, it gave accuracies of 93-95%, but after more tests, I realized that my AUC rn is around 70%.

Tomorrow, I’m going to try switching from XGBoost + Boruta feature selection to Logistic Regression to see if my AUC can be brought up to at least 80.

My first ever DevLog

I built my Slack bot. I used Node.js for the first time,e and it was really interesting using APIs with JavaScript. For reference,e my main language is Python, that’s what I usually code everything in.

The project started as just a ping and joke, and cat fact, but I started looking into more APIs and kept adding.
Bigbott isn’t live is because I still have to apply for a nest container.

Hackatime is also being weird and said I only worked on it for 20 minutes, but it was actually a lot more, at least 1 hour.

As soon as my Nest Container gets approved, Bigbot will be available for everyone to use (if you want to).