We are very close to 2000 members - but will we have 2000 members by this meetup? How could we predict how many members we will have?
Continuing on from looking at regression and classification trees from a previous meetup, we will be looking at arguably the bread and butter of numeric prediction - generalised linear models (GLM). We will start with a short intro into some of the theory before looking over a few regression variants such as lasso and ridge regression.
We will be analysing our own meetup data, with the hope of using our previous meetup member numbers, timing of our meetups, size of previous meetups, day of week of our meetups and a whole bunch of random (likely irrelevant) covariates to predict if we will have 2000 members by this meetup. And the best thing is we will already know if we're right or not!
I will endeavour to write both an R and a Python tutorial for the meetup. This will possibly be our last meetup for a while in R - :( . So if you are keen for more R in the future make sure you sign up and Represent.
Meetup structure:
• We will start with a short talk GLMs and regression.
• Demonstrate lasso and ridge regression
• Share our meetup data for everyone to explore these different regression methods.
Learning Outcomes:
We aim to get everyone to the level were they have good intuition around GLMs and when lass vs ridge regression works best.
Software Requirements:
Please ensure that you have Anaconda Navigator (https://www.anaconda.com/download/) installed with Python 3. Have a look at previous meetups explaining how to install and get set up with anaconda.
If you are an R user, then please come with Rstudio and R installed.
