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This is the second episode of a Four-part series - An introduction to R and Machine learning. Join us for the session at Introduction to regression models by using R and Tidymodels - part 2 of 4, Tue, May 31, 2022, 4:00 PM | Meetup. If you missed episode one, you can watch the in-demand recording.
Let us say you are a real estate agent and we have just been handed a couple of new houses at different locations in a city. We do not know the selling price, and we want to get an estimate of it by comparing it with that of other houses in the location.
In this session, we will use a dataset of real estate sales transactions to predict the price-per-unit of a property based on features such as the property age, availability of local amenities, and location.
Who is it aimed at?
This session is aimed at anyone who would like to get started with data science in R
Why should you attend?
Get an introduction to regression models and learn how to train a regression model in R
Any pre-requisites?
Knowledge of basic mathematics
Some experience programming in R
What will we cover in the session?
- When to use regression models
- How to train and evaluate regression models using the Tidymodels framework
Speaker Bios
Carlotta Castellucio – Cloud Advocate, Microsoft
Carlotta Castelluccio is a Cloud Advocate at Microsoft, focused on Data Analytics and Data Science. As a member of the Developer Relationships Academic team, she works on skilling and engaging educational communities to create and grow with Azure Cloud, by contributing to technical learning content and supporting students and educators in their learning journey with Microsoft technologies. Before joining the Cloud Advocacy team, she worked as an Azure and AI (ARTIFICIAL INTELLIGENCE) consultant in Microsoft Industry Solutions team, involved in customer-face engagements focused on Conversational AI solutions. Carlotta earned her master's degree in Computer Engineering from Politecnico di Torino and her Diplôme d'ingénieur from Télécom ParisTech, by completing an E+/EU Double Degree Program.
Eric Wanjau - Data Scientist/Researcher at the Leeds Institute for Data Analytics (LIDA)
Eric is an Early Career Researcher who continually seeks to tackle real-world challenges using applied research, data analytics and machine learning; all wrapped in unbridled empathy and enthusiasm. He is currently a Data Scientist/Researcher at the Leeds Institute for Data Analytics (LIDA) in the University of Leeds, working on the British Academy project undertaking urban transport modelling in Hanoi. He has also done research in robotics, computer vision and speech processing in Japan and Kenya, aimed at creating safe working environments and exploring human-robot interaction in board games. Eric holds a BSc. in Electrical and Electronic Engineering (2021) from Dedan Kimathi University of Technology Kenya. He plays the guitar (terribly but palessionately).