Ankit - Machine learning tutor - Brooklyn
1st lesson free
Ankit - Machine learning tutor - Brooklyn

Ankit's profile and contact details have been verified by our team

Ankit

  • Rate R502
  • Response 5h
  • Students

    Number of students Ankit has accompanied since joining Superprof

    3

    Number of students Ankit has accompanied since joining Superprof

Ankit - Machine learning tutor - Brooklyn
  • 5 (4 reviews)

R502/h

1st lesson free

Contact

1st lesson free

1st lesson free

  • Machine learning

Machine Learning Made Practical: Build Real ML Projects with Python, from Your First Model to a Portfolio

  • Machine learning

Lesson location

Super Tutor

Ankit is one of our best Machine learning tutors. High-quality profile, qualifications verified, organised and responsive to lesson requests, and appreciated by their students.

About Ankit

I'm a working Data Analyst who uses Python every day, and I've built my own machine learning and AI projects, including CineMatch and a RAG-based AI agent. I hold Superprof's Super Tutor badge, earned through 14+ hours of 5-star rated lessons. I teach ML the practical way: what each model actually does, when to use it, and how to turn it into a project you can show employers.

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About the lesson

  • Primary
  • Secondary
  • Matric/GCSE
  • +12
  • levels :

    Primary

    Secondary

    Matric/GCSE

    AS Level

    A Level

    BTech

    Adult education

    Masters

    Doctorate

    MBA

    Beginner

    Intermediate

    Advanced

    Professional

    Kids

  • English

Languages in which the lesson is available :

English

Machine learning feels intimidating until someone shows you how the pieces fit together. That's what we'll do. Every session is live and hands-on: we write the code together in Python (pandas, scikit-learn), and I explain the why behind every step, not just the syntax.

What we'll cover, at your pace:
- Preparing real data: cleaning, feature engineering, train/test splits
- Core models: linear and logistic regression, decision trees, random forests, clustering
- Evaluating models properly: accuracy, precision/recall, overfitting
- Building an end-to-end project for your portfolio
- Intro to modern AI tools, LLMs and RAG, if you want to go further

Who this is for: students taking an ML or data science course, career switchers moving into data roles, and developers who want to add ML to their skills.

Typical 60-minute lesson: recap and questions (10 min), new concept with a real dataset (20 min), coding it together (20 min), wrap-up and a small task (10 min).

Book a free 1-hour trial lesson and let's build your first model together.

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Rates

Rate

  • R502

Package rates

  • 5h: R2257
  • 10h: R4514

free lesson

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

  • 1h

online

  • R502/h

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