ML Study Jam is a collective learning program helping community members to grow as ML practitioners. The idea is to go through basic ML concepts and share the knowledge in a community. By honing skills and enhancing capabilities, a beginner can start one’s journey to becoming an ML expert. 🤖 🚀
This track is a study program going through Kaggle Learn courses. The goal of these assignments is to cover the most essential skills rapidly. Such as how to use TensorFlow or Pandas and how to build your first Machine Learning model and participate in your first competition 👏 🎉.
Kaggle is the world’s largest data science and machine learning community. It offers a no-setup, customizable Jupyter Notebooks environment, access to free GPUs, and a huge repository of community-published data & code.
"Intro to Machine Learning" is the first session of a series of 5 sessions :
Intro to Machine Learning
Intermediate Machine Learning
Intro to Deep Learning
Time Series
NLP ( Bonus session )
In this first session, we are going to cover the content based on Kaggle's micro-course "Intro to Machine Learning":
How Models Work
Basic Data Exploration
Your First Machine Learning Model
Model Validation
Underfitting and Overfitting
Random Forest
Machine Learning Competitions
For more details, you can check it out below 👇
https://www.kaggle.com/learn/intro-to-machine-learning
Requisites:
1. Have access to a Browser (preferably Google Chrome)
2. Sign up to Kaggle
3. Eager to Learn !!!
4. Have Completed the 🐼 Pandas microcourse
ML & Cloud Data, Intel AI Innovator
Data Scientist | WTM Ambassador
She Code Africa Nairobi
Technical Writer
Data scientist
Engineering Product Manager passionate about building high-value products. I am excited about driving positive change in Africa through Technology, entrepreneurship and innovation.
Specialties: Technical Program Management, Machine Learning, Cloud - ML, Tiny ML, Signal Processing, Deep Learning
Brayan Kai is a Data Analyst and Google Crowdsource Influencer Passionate about communities, Developer Relations Technical Writing and Open Source.
He currently volunteers at different developer communities across Africa including Google Crowdsource, Open Source Community Africa, She Code Africa and Dev Careers. All this owing to his strong passion for supporting fellow upcoming technologist, women in tech ad advocating for inclusion and diversity. He calls this his personal mission.
Soulful techie:)
Sky.Garden
Frontend Engineer
Device Manager - Cloud Data & AI, Safaricom PLC
Diffusion Models with KerasCV
Data scientist
Wayne Gakuo is a Google Developer Expert for Angular and a Frontend Engineer who is constantly learning the best practices of architecting software using Angular, while having scalability, maintainability, and user needs in mind. Aside from work, Wayne leads Angular Kenya which trains budding developers to become proficient Angular developers. In his free time, Wayne loves watching documentaries and playing video games, trying to get better at FIFA.
Technical Program Manager / Engineering Manager passionate about building high-value products, with proven ability to lead both technical and marketing teams to achieve organizational objectives.
I am excited about driving positive change in Africa through Technology, entrepreneurship and innovation. When not building products, I love to teach. I believe education should be free and accessible to all.
Soulful techie:)
Interswitch Group
Organizer - Party & Happiness
Organizer - Communications & Crew
Sky.Garden
GDG Co-organizer & Crew
Safaricom PLC
Organizer - Strategic Partnerships, Content & ML
GDG Co-Lead & Program
Partnerships & ML Organizer
WTM Ambassador
GDG Co-Organizer & Program
WTM Ambassador
UX Developer
Organizer - Partnerships
Organizer - Media and Blogs
WTM Ambassador
Data Analyst/Scientist
Organizer
GDG Co-organizer
GDG Co-organizer
Organizer - Media & Communication
Safaricom
Product Designer
