Yahya - Software tutor - Montreal
1st lesson free
Yahya - Software tutor - Montreal

Yahya profile and its contact details have been verified by our experts

Yahya

  • Rate R466
  • Response 1h
Yahya - Software tutor - Montreal

R466/h

1st lesson free

Contact

1st lesson free

1st lesson free

  • Software
  • Machine learning
  • Coding

Machine learning & Computer Science tutor covering CS fundamentals, problem solving, and programming

  • Software
  • Machine learning
  • Coding

Lesson location

About Yahya

Hi, I'm Yahya. I'm a grad student and AI researcher in Montreal, and I tutor students in Machine Learning and core Computer Science.

My teaching style: we start by making the concept clear, then we work through the kind of problems your course expects, and finally we implement what you learned in code (when relevant). I focus on helping you become independent so you can handle assignments and exams confidently, not just memorize steps.

I can help with courses/topics such as: Machine Learning / Intro AI, Deep Learning, Probability & Statistics for ML, Data Structures & Algorithms, and programming in Python and C++. If you share your syllabus or a recent assignment, I can tailor sessions directly to your course.

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About the lesson

  • Matric/GCSE
  • AS Level
  • A Level
  • +6
  • levels :

    Matric/GCSE

    AS Level

    A Level

    BTech

    Undergraduate

    Intermediate

    Advanced

    Professional

    Adult education

  • English

Languages in which the lesson is available :

English

I help students understand course material, finish assignments confidently, and prep for exams.
Sessions are structured: we review the lecture idea, work through examples, then code it and practice similar questions.

Courses/topics I can help with (example topics):
- Machine Learning / Intro AI: regression, classification, KNN, SVM, trees, ensembles, bias–variance, overfitting, cross-validation.
- Deep Learning: MLPs, CNNs, training loops, loss functions, optimizers, regularization.
- Probability & Statistics for ML: distributions, expectation/variance, Bayes rule, hypothesis testing basics.
- Data Structures & Algorithms: complexity, arrays/linked lists, stacks/queues, trees, heaps, hashing, graphs, sorting/searching.
Programming: Python, C++.

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Rates

Rate

  • R466

Package rates

  • 5h: R2331
  • 10h: R4662

online

  • R466/h

free lesson

The free first lesson with Yahya allows you to get to know the tutor and discuss your needs and expectations.

  • 30min

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