Will we reach 2000 members? Regression Theory + practical!

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.

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As usual this meetup will be very relaxed and we encourage people of all skills in python to come along and learn from each other. We'll work on the problem for a few hours then have some pizza and drinks thanks to our new sponsor Pivigo.

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Bring:

• Laptops, Charging Cords, an Inquisitive Spirit

HOW TO FIND IT

Please head to norfolk place (W2 1PE - see below #1), and its at the faculty of medicine. The entrance (see below #2) is opposite the cambridge wing and might be behind the mobile MRI scanner (it moves so it might not!). On the day I will be meeting people at the door to take them through to the room, however if I am not outside when you arrive either wait and I will be out shortly, or go in and speak to the security guard. If you explain you are here for a data science meetup in G64 MSc room they will hopefully let you in and explain where to go.

#1

https://secure.meetupstatic.com/photos/event/6/e/5/7/600_456268247.jpeg

#2

https://a248.e.akamai.net/secure.meetupstatic.com/photos/event/a/7/5/5/600_452682837.jpeg