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Jordan
- Rate 462 GHS
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462 GHS/hr
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- Computer Science
- Software
- Machine learning
Offering Elite Python, Data Science and Machine Learning tuition. Chilled Teaching approach
- Computer Science
- Software
- Machine learning
Lesson location
About Jordan
I’m Jordan Clive, Lead Deep Learning Scientist / Engineer at Chattermill AI in London. Day-to-day I design, fine-tune and deploy large-language-model systems used by global brands like Uber and Amazon.
I’m also passionate about open-source and the frontier, as a core contributor to LAION’s OpenAssistant—the original open-source alternative to ChatGPT—and have peer-reviewed papers at EMNLP, ICLR, NAACL and COLING. Academically, I earned a Distinction MSc in Computing (Machine Learning & AI) from Imperial College London with an average of 92% and won a prize for first-author work with Google DeepMind. I also review for top NLP conferences, including ACL 2025 and EMNLP 2023.
My open-source footprint spans Hugging Face Transformers, MMTEB, and numerous public LLM checkpoints downloaded thousands of times. Alongside frontier research, I still enjoy the “classics”: scikit-learn, XGBoost, time-series modelling and solid software engineering. That mix of bleeding-edge and traditional data science lets me meet students exactly where they are—whether they’re writing a first Python loop or scaling a 100B-parameter model on H100s.
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About the lesson
- Primary school
- Junior high school
- SHS 1
- +14
levels :
Primary school
Junior high school
SHS 1
SHS 2
SHS 3
BTS
Adult Education
Facultate (Licență)
Master's degree
Higher national diploma
Doctor of philosophy
MBA
Beginner
Intermediate
Advanced
Professionel
Child
- English
All languages in which the lesson is available :
English
Bring your problem—homework, project, or study topic—and we’ll solve it together. I combine front-line industry experience (shipping RAG and custom LLMs for clients like Uber & Amazon) with the empathy of someone who started in a data-science boot camp. I understand both steep learning curves and real-world constraints.
⸻ How sessions run
• Tailored start – I gauge your current knowledge and learning style, then sketch a mini-curriculum that balances motivation and challenge.
• Project-based – We build something tangible each session (e.g. an image generator or a Streamlit dashboard), so you leave with runnable code and next-step notes.
• Intuition first – Clear explanations and sketches come before equations or APIs.
⸻ Topics covered
• Core data science – Pandas, NumPy, visualisation, XGBoost / LightGBM, supervised & unsupervised learning (PCA, K-Means), Bayesian inference, Streamlit / Gradio.
• Advanced ML & AI – Neural networks, Transformers, Hugging Face, RAG pipelines, agentic AI, LoRA fine-tuning, PyTorch, vLLM, GPU workflows, production tips (Docker, “push-to-prod”).
• Maths support – Linear algebra, optimisation, probabilistic inference.
⸻ Who it suits
From beginners or young students to working professionals. Message me for more details about me or your first project or question—then let’s get building.
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Recommendations
Recommendations come from relatives, friends and acquaintances of the teacher
1
Thanks to Jordan’s clear explanations and project-based approach, I landed my first Data Scientist role—and later pivoted into Machine Learning! He makes complex topics feel approachable and gave me the confidence to build real-world projects.
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Rates
Rate
- 462 GHS
Pack prices
- 5h: 2,309 GHS
- 10h: 4,619 GHS
online
- GHS462/h
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