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Ryan
- Price $36
- Answer 1h

$36/h
1st lesson free
- Machine learning
PhD Researcher teaches Data Science & Machine Learning: Specialised in Deep Learning, MLLMs and Spatial Data for Career Professionals.
- Machine learning
Lesson location
About Ryan
I am a PhD Scholar in Data Science with a deep background in AI and Spatial Analytics. While my research focuses on the cutting edge of MLLMs and GeoAI, my passion in teaching lies in simplifying these complex fields for others.
With years of experience navigating the technical demands of a PhD, I have developed a unique ability to break down advanced logic into plain, actionable English. I don't just teach you how to write code; I teach you the logical framework of a Data Scientist. I’ve helped students bridge the gap from 'beginner' to 'confident coder' by focusing on clear, step-by-step guidance.
About the lesson
- All Levels
- English
All languages in which the lesson is available :
English
As a PhD scholar specializing in Machine Learning and GeoAI, I bridge the gap between complex theory and practical implementation. My classes are designed for students and professionals who want to master ML algorithms, deep learning, and data strategy without getting lost in the jargon.
What you will learn:
Foundational ML: From linear regression to advanced neural networks.
Practical Python: Implementing models using Scikit-Learn, PyTorch, and Pandas.
Research Insight: I teach you how to read papers and implement cutting-edge techniques like MLLMs and Spatial Data Science.
Project Guidance: Real-world applications to build a portfolio that stands out.
My methodology is hands-on and tailored to your pace. Whether you are preparing for a career pivot, an interview, or a university thesis, I provide the academic rigor and practical coding skills necessary to succeed in the 2026 AI landscape.
Rates
Price
- $36
Pack prices
- 5h: $180
- 10h: $360
online
- $36/h
free lessons
The first lesson with Ryan will allow you to get to know each other and discuss your needs for future lessons.
- 1hr
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