This session was not filmed.
We will continue putting our hands on coding with R and Python and understanding better the modeling stage of the CRISP-DM cycle. In this session, we will cover two important ML techniques for supervised learning: Linear Regression and Binary Classification. You will have time for questions, chats and networking, so you will get the best of everything!
6pm - 6:15pm Intro to IWDS
6:15pm - 7:15pm Linear Regression with python
7:15pm-8:15pm Binary Classification with python
From 8:15pm Snacks, drinks and networking
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Linear Regression and Binary Classification with Python
Galiya has 15 years of commercial software development experience and spent a few years as a Cloud Solution Architect as Microsoft, specialising on Data, ML and AI workloads on the Azure platform.
Laura da Silva is passionate about promoting, educating and developing projects STEM or Data Science related. With a degree in Maths and PhD studies in HPC, Laura has worked in a variety of roles: from secondary maths teacher and C# software developer to Principal Data Scientist. Currently, she is the founder and CEO of Da Silva Advanced Analytics and works as advisor in Data Science for Social Good projects. She is really committed to grow the STEM community and tech learning experiences for women and girls. She is the founder of “Inspiring Women in Data Science”, a community group with 950+ women and regular monthly events. She also created and co-organized the 1st International Conference on Women and Girls in Science in London with 100+ attendees. Nowadays, she is in the UK helping other companies with their Data Science strategy, at the same time that she is contributing to community with workshops, talks, panels, etc.