Data - Machine learning tutor - Bengaluru
1st lesson free
Data - Machine learning tutor - Bengaluru

The profile of Data and their contact details have been verified by our experts

Data

  • Rate 181 GHS
  • Response 1h
Data - Machine learning tutor - Bengaluru

181 GHS/hr

1st lesson free

Contact

1st lesson free

1st lesson free

  • Machine learning

Experienced Machine Learning Mentor with 12 Years, 10 Projects, Teaching Practical AI Skills.

  • Machine learning

Lesson location

About Data

With over 12 years of experience in teaching Machine Learning, I have guided students and professionals through both academic concepts and real-world applications. My background includes successfully completing 10 diverse projects, which I use as case studies to enrich learning and provide practical insights.

I believe in creating a supportive and interactive environment where learners feel confident to ask questions, experiment, and grow. My classes are structured to balance theory with hands-on practice, ensuring that students not only understand the fundamentals but also gain the skills needed to apply them in industry settings.

Whether you are a college student, a working professional, or an enthusiast eager to explore AI, my teaching approach is designed to meet your needs. I emphasize clarity, patience, and real-world relevance, so every learner feels empowered to achieve their goals.

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About the lesson

  • Primary school
  • Junior high school
  • SHS 1
  • +20
  • levels :

    Primary school

    Junior high school

    SHS 1

    SHS 2

    SHS 3

    BTS

    University education

    Adult Education

    Facultate (Licență)

    Master's degree

    Higher national diploma

    Doctor of philosophy

    Other

    GDL

    Qualified Lawyer Transfer Scheme

    MBA

    Pre school

    Beginner

    Intermediate

    Advanced

    Professionel

    Others

    Child

  • English

All languages in which the lesson is available :

English

Techniques and Methods
I focus on simplifying complex concepts in Machine Learning by breaking them down into clear, step‑by‑step explanations. I use real‑world examples, case studies, and project‑based learning so students can connect theory with practice. Interactive discussions, coding exercises, and hands‑on assignments are central to my method.

Structure of a Class

Introduction (10–15 minutes): Overview of the topic and its real‑world relevance.

Core Learning (30–40 minutes): Detailed explanation with live coding, visual aids, and interactive Q&A.

Practical Application (20–30 minutes): Students work on exercises or mini‑projects to apply what they’ve learned.

Wrap‑Up (10 minutes): Summary, key takeaways, and guidance for further practice.


Special Features as a Teacher

Over 12 years of teaching experience in Machine Learning.

Successfully completed 10 real projects, which I use as case studies to enrich learning.

Emphasis on hands‑on practice rather than just theory.

Personalized guidance to help students understand at their own pace.

Focus on preparing learners for industry‑ready skills.

Intended Audience
My classes are designed for:

College students who want to strengthen their academic foundation.

Working professionals looking to upskill in AI and Machine Learning.

Adults and enthusiasts eager to explore practical applications of ML.

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Rates

Rate

  • 181 GHS

Pack prices

  • 5h: 905 GHS
  • 10h: 1810 GHS

free lessons

The first free lesson with Data will allow you to get to know each other and clearly specify your needs for your next lessons.

  • 1hr

online

  • GHS181/h

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