1st lesson free
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Moradi
- Rate R289
- Response 1h
R289/h
Contact
1st lesson free
- Maths
- Algebra
- Statistics
- Maths Logic
- Algorithms
PhD Candidate Tutor: Practical Machine Learning Fundamentals (Python) Understand ML Clearly: Models, Metrics, Overfitting (Python) Build Your First ML Model (Python + scikit-learn) — Step-by-step - sh
- Maths
- Algebra
- Statistics
- Maths Logic
- Algorithms
Lesson location
About Moradi
I’m a Machine Learning PhD candidate in Computer Science based in Vancouver, with 5+ years of applied data science experience and 3+ years supporting university instruction through labs/tutorials, assignments, grading, and project mentoring. I enjoy teaching and explaining ML concepts clearly, and I focus on practical skills that learners can immediately use in projects, school, or work.
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About the lesson
- Primary
- Secondary
- Matric/GCSE
- +9
levels :
Primary
Secondary
Matric/GCSE
AS Level
A Level
BTech
Adult education
Undergraduate
Masters
Doctorate
Other
MBA
- English
Languages in which the lesson is available :
English
In lessons, we focus on the foundations that actually matter:
ML basics: supervised vs unsupervised learning
core models (e.g., regression, classification, trees) using scikit-learn
evaluation & metrics, cross-validation, and avoiding common mistakes (overfitting, data leakage)
interpretability and responsible ML basics
building an end-to-end workflow: data → model → evaluation → explanation
I adapt the pace to your level (beginner to intermediate). I’ll also help you apply what you learn to solve real-world problems and think about them with a data-science mindset—how to frame the question, choose the right data, define success metrics, and communicate results. You’ll leave with working code, notes, and a clear practice plan.
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Rates
Rate
- R289
Package rates
- 5h: R1445
- 10h: R2890
online
- R289/h
free lesson
The free first lesson with Moradi allows you to get to know the tutor and discuss your needs and expectations.
- 1h
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