Taken from this great Talk Python Training course - get the lifetime bundle if you can! You have a list of api endpoints you want to pull data from and collect results into some results list or dataframe for further processing. You could just loop over that list and make a load of requests.get() calls … Continue reading Some asyncio fun/pain
I like an excuse to play with fancy things, so when i first learned about the Matrix Profile for time series analysis, particularly around anomaly detection, i was intrigued. When i learned there was a nice python package (STUMPY) i could just pip install i was outright excited, as one thing i like more than … Continue reading Anomaly Detection using the Matrix Profile
as it looks - made in about 20 seconds in google drawing 🙂 I've been thinking for a while that there really should be some go-to online community for people interested in ML and ireland in some way. I was fairly surprised to find that none really existed when i went to find one to … Continue reading “Machine Learning Ireland” slack community
It may be a combination of starting to go stir crazy over the Christmas break and some self loathing at the amount of FIFA i've been playing that's driven me to finally start learning some Go for a few data science and machine learning related projects i'm working on where it offers unique advantages. (In … Continue reading First stab at some Go (so hot right now)
always use a meme to kick off a tutorial Here is an anomaly detection tutorial that i created for my boss and the open source community where i work. It's part of some work i have been doing around adding some anomaly detection functionality into our open source monitoring project. Like most ML projects the … Continue reading Anomaly Detection Tutorial
The Setup This is a little one I was surprised to see. Recently I had a need to do some pretty basic feature engineering to a pandas dataframe prior to training some models. Basically I needed to take differences of each column, apply some smoothing, and then add a number of lagged columns for each … Continue reading Numpy Feature Engineering – 2x Speed Up Over Pandas!
An actual market basket I found in my Google photos. tl; dr; if you find yourself doing some association rule mining using mlxtend but finding it a bit slow then checkout PyFIM - here is a colab I made to get you started. I have recently been looking to do some market basket analysis ("Association … Continue reading Market basket analysis in Python
don't mind if i do Here is a thing i helped build in work that i'm fairly happy with: https://www.linkedin.com/posts/andrewm4894_netdata-introducing-our-first-netdata-cloud-activity-6712008465574887424-SlIr Now, onto the next thing!
I've recently been playing around with some time series clustering tasks and came across the tslearn library. I was interested in seeing how easy it would be to get up and running some of the clustering functionality that is already built into tslearn, turns out it was quite easy and straight forward, perfect blog post … Continue reading Time series clustering with tslearn
I've been doing some work that necessitated using the same statistical test from spicy lots of times on a fairly wide pandas dataframe with lots of columns. I spent a bit too much time googling around for the most efficient ways to do this, and even more time re-writing things various way before realizing i … Continue reading Premature Optimization