Date: Tuesday June 21, 2022
Live Event Time: 15:00 PM (GMT) 08:00 AM (PT)
RSVP for the session: Introduction to classification models by using R and Tidymodels part 3 of 4, Tue, Jun 21, 2022, 4:00...
This is the third episode of a Four-part series - An introduction to R and Machine learning. Join us for the session at Introduction to classification models by using R and Tidymodels part 3 of 4, Tue, Jun 21, 2022, 4:00... If you missed episode one, you can watch the on-demand recording and for episode two, you can also watch the on-demand recording.
Let's say we are Data Scientists in a wine making company. Your company wants to produce the best wine and you are tasked with working with the company's wine records and wine expert to realize this.
In this session, we will train a classification model to analyze the chemical and visual features of wine samples and classify them based on their cultivar (grape variety).
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 classification 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?
- Create a multinomial model specification to analyze the chemical and visual features of wine samples and classify them based on their cultivar (grape variety).
Speaker Bio's
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 passionately).
Watch On Demand