A Guide to Building Regression Models and Visualizations in Python

What to expect from the workshop?

• Introduction to data science/machine learning concepts and methods
• By the end of the event, you'll have knowledge to create data visualizations using Python. This will be a valuable asset for anyone who works with data, regardless of their field.
• Mentoring and machine learning practitioners on best practices
• This is a fantastic opportunity to connect with potential mentors, collaborators, and fellow data professionals!

Target Audience: Beginner-friendly, some Python experience helpful.
Format: Interactive talks, demos, and hands-on coding.

10:00 - 10:15 AM EAT: Welcome & Introduction - Milka Wafula

10:15 - 10:30 AM EAT: Overview of data science & machine learning concept - Kamil Seghrouchni

10:30 - 11:20 AM EAT: Building Regression Model with Python - Delilah Rose

• Understand what regression is and why it's awesome.
• A guide to build a simple model.
• Real-World Examples & Inspiration! How regression helps in different fields.

11:20 - 11:30 PM EAT: Break

11:30 - 12:30 PM EAT: Data Visualization with Python - Janeth Mroki

• Different types of visualizations and their use cases.
• Key design principles for effective visualizations.
• Create bar charts, line charts, and scatter plots.

12:45 - 1:00 PM EAT: Q&A & Wrap-up

Ask questions, share thoughts, leave motivated.

Speakers
Delilah Rose
Data scientist @ ZINDI AFRICA
LinkedIn: Rose Delilah Gesicho | LinkedIn

Janeth Mroki
Knowledge and Insights Manager @ COCA COLA KWANZA LTD
LinkedIn: Janeth Mroki | LinkedIn

Host
Victoria Mutai
Python Developer @ ASSENT
LinkedIn: Victoria Mutai | LinkedIn

Mentor
Milka Wafula
Data Analytics Developer @KENYA AIRWAYS
LinkedIn: Milka Wafula (She/her)📊 | LinkedIn

Kamil Seghrouchni
Machine Learning Engineer @VISIUM SA
LinkedIn: Kamil Seghrouchni | LinkedIn

A Guide to Building Regression Models and Visualizations in Python
Saturday, 24 February · 10:00am – 1:00pm
Time zone: Africa/Nairobi
Google Meet joining info
Video call link: https://meet.google.com/ohs-esqa-qks