Rajiv - Machine learning tutor - Bengaluru
1st lesson belanja
Rajiv - Machine learning tutor - Bengaluru

Rajiv's profile, qualifications and contact details have been verified by our experts

Rajiv

  • Rate RM86
  • Response 1h
  • Students

    Number of students accompanied by Rajiv since their arrival at Superprof

    1

    Number of students accompanied by Rajiv since their arrival at Superprof

Rajiv - Machine learning tutor - Bengaluru

RM86/h

1st lesson belanja

Contact

1st lesson belanja

1st lesson belanja

  • Machine learning

Apply Scikit-learn to solve real-world machine learning problems. Scikit-learn is one of the most widely used libraries for building machine learning models in Python.

  • Machine learning

Lesson location

About Rajiv

I'm Rajiv Pujala, a Program Manager at Google with over 10 years of experience in data analytics, Python programming, and machine learning. I specialize in teaching practical ML using scikit-learn and PyTorch, with real-world datasets, including supply chain and compliance use cases. I also run the YouTube channel CodeCraft with Rajiv Pujala, where I break down complex AI/ML topics into digestible lessons.

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About the lesson

  • Primary
  • Secondary
  • SPM
  • +13
  • levels :

    Primary

    Secondary

    SPM

    Form 6

    STPM

    Adult education

    Bachelor

    Masters

    Diploma

    Doctorate

    Other

    Beginner

    Intermediate

    Advanced

    Professional

    Kids

  • English

All languages in which the lesson is available :

English

I would be patient enough to teach not only theoretically but also practically. I would explain each and every topic with an example cand in a different way to get that registered in brain. For example a topic with pictorial explanation either through flowchart.

I would help students to get through the interviews by taking mock interview sessions, walk them through potential interview questions as well.

Curriculum:
Core ML concepts: supervised, unsupervised learning

Model building with scikit-learn & PyTorch

Data preprocessing, feature engineering

Evaluation metrics (precision, recall, AUC, etc.)

Real-world ML projects (e.g., classification, regression, predictions)

Debugging and improving ML pipelines

Optional: BigQuery ML, Vertex AI, and ML deployment basics

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Rates

Rate

  • RM86

Pack rates

  • 5h: RM431
  • 10h: RM862

online

  • RM86/h

Travel

  • + RM400

free lessons

This first lesson is free to allow you to get to know your teacher so that they can best meet your needs.

  • 30mins

Video

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