Ghous - Basic computer skills tutor - Birmingham
1st lesson free
Ghous - Basic computer skills tutor - Birmingham

One of our best tutors. Quality profile, experience in their field, verified qualifications and a great response time. Ghous will be happy to arrange your first Basic Computer Skills lesson.

Ghous

One of our best tutors. Quality profile, experience in their field, verified qualifications and a great response time. Ghous will be happy to arrange your first Basic Computer Skills lesson.

  • Rate $66
  • Response 1h
  • Students

    Number of students Ghous has accompanied since arriving at Superprof

    26

    Number of students Ghous has accompanied since arriving at Superprof

Ghous - Basic computer skills tutor - Birmingham
  • 4.9 (6 reviews)

$66/h

1st lesson free

Contact

1st lesson free

1st lesson free

  • Basic Computer Skills
  • Software
  • Machine learning
  • Telecommunications

Machine Learning & AI Tutor | University Lecturer, MSc Distinction | Python, Coursework & Dissertations | Published Researcher

  • Basic Computer Skills
  • Software
  • Machine learning
  • Telecommunications

Lesson location

Ambassador

One of our best tutors. Quality profile, experience in their field, verified qualifications and a great response time. Ghous will be happy to arrange your first Basic Computer Skills lesson.

About Ghous

I'm Ghous, a Birmingham based tutor with an MSc in Electronics and Electrical Engineering (Distinction) from the University of Chester, where I now teach as a Visiting Lecturer on a Master's module covering data analytics, machine learning and generative AI. The coursework you are stuck on is the kind of work I set and mark myself, so I know exactly what examiners are looking for and where marks get lost.

Outside teaching I work as a freelance engineer and I have accepted international conference papers on deep learning for image classification, both on building small, efficient neural networks that actually run on real hardware. When you ask why your model isn't converging, or how to justify an architecture choice in a report, you get an answer from someone who does this work rather than a rehearsed tutorial explanation.

My students usually arrive in one of three situations: an ML or AI module they've stopped being able to follow, a final year project or dissertation with a deadline closing in, or a career change into data science where the online tutorials quietly stopped making sense. I've worked with university students in the UK and abroad, with school students, and with working professionals starting from zero Python.

I'm patient and I don't rush. If the real gap is the maths underneath a model, we go back and fix that first. Message me with what you're working on and I'll tell you honestly whether I'm the right person to help.

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About the lesson

  • Elementary School
  • Middle School
  • High School
  • +13
  • levels :

    Elementary School

    Middle School

    High School

    Première

    Terminale

    College

    Adult Education

    Masters/ Graduate School

    Doctorate

    MBA

    Early childhood education

    Beginner

    Intermediate

    Advanced

    Proficient

    Children

  • English

All languages in which the lesson is available :

English

Every lesson is built around what you are actually being assessed on. Send me your module handbook, assignment brief, dissertation spec or the code that isn't working, and I'll plan the session around it before we meet. No generic curriculum.

Who I teach
University undergraduates and postgraduates on AI, ML, data science and computer science modules. Final year and Master's students doing ML projects or dissertations. Working professionals moving into data roles. Complete beginners who want Python properly, not copied from a video.

What I cover
Python for data science (NumPy, Pandas, Matplotlib, scikit-learn). Deep learning with TensorFlow and Keras. Core theory: regression, classification, clustering, decision trees, random forests, neural networks and CNNs, plus the linear algebra, calculus and statistics that sit underneath them. Computer vision and image classification, which is my published research area. Model evaluation, overfitting, hyperparameter tuning and the parts that usually cost marks. Writing up ML work to academic standard, including methodology, results and critical evaluation.

How a lesson runs
We start with the specific thing blocking you. I explain the concept with a worked example, then you drive while I watch and correct, because you learn far more doing it than watching me do it. You leave with annotated notes and a clear next step. Between lessons you can send me questions and I'll reply.

Practical details
Online over Google Meet or Zoom with a shared whiteboard and screen sharing, or in person around Birmingham. Lessons are 60 or 90 minutes. Evenings and weekends available. I reply to messages within a few hours.

Tell me your module, your deadline and where you're currently stuck, and I'll come back with a plan for the first session.

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Rates

Rate

  • $66

Pack rates

  • 5 h: $300
  • 10 h: $582

travel fee

  • + $10

free lessons

This first lesson offered with Ghous will allow you to get to know each other and clearly specify your needs for your next lessons.

  • 30min

online

  • $66/h

Details

The first 30 minutes are free. We use that time to go through your module, brief or code so I can tell you honestly whether I'm the right fit before you commit to anything.

Lessons run 60 or 90 minutes, online or in person around Birmingham. The rate is the same either way.

Packs work out cheaper per hour and suit anyone working towards a deadline, since we can plan the whole run of sessions rather than picking things up week by week. Most dissertation and final project students book a pack.

The rate covers more than the hour itself. I prepare around your actual assignment beforehand, you get written notes after each session, and you can message me between lessons with questions at no extra cost.

Travel within Birmingham is included. Further afield, message me and we'll sort something out.

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