Anvitha - Machine learning tutor - Mangaluru
1st lesson free
Anvitha - Machine learning tutor - Mangaluru

Anvitha profile and its contact details have been verified by our team.

Anvitha

  • Rate $6
  • Response 24h
  • Students

    Number of students Anvitha has accompanied since arriving at Superprof

    2

    Number of students Anvitha has accompanied since arriving at Superprof

Anvitha - Machine learning tutor - Mangaluru
  • 5 (3 reviews)

$6/h

1st lesson free

Contact

1st lesson free

1st lesson free

  • Machine learning

Big Data Analytics Graduate with Industry Experience Teaches Machine Learning Using Python, Covering Real Projects in CV, NLP & Data Science – Ideal for Students and Professionals

  • Machine learning

Lesson location

Recommended

Anvitha is a respected tutor in our community. They are highly recommended for their commitment and the quality of their lessons. An excellent choice to progress with confidence.

About Anvitha

I'm Anvitha, a postgraduate in Big Data Analytics with hands-on industry experience in Machine Learning and Data Science. My expertise spans Python, ML algorithms, NLP, and Computer Vision, and I’m passionate about helping others learn and apply these skills in real-world scenarios. I believe in simplifying complex ML concepts using practical explanations, step-by-step coding, and real datasets. My goal is to ensure every learner—not just understands the theory—but can confidently build, interpret, and deploy models. I’ve taught students from both technical and non-technical backgrounds and guided them through career-focused projects, interviews, and portfolios. If you're curious about AI, data, or automation, I’ll help you navigate the path with clarity, patience, and structure. Let’s make Machine Learning less intimidating and more exciting—together!

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About the lesson

  • Elementary School
  • Middle School
  • High School
  • +17
  • levels :

    Elementary School

    Middle School

    High School

    Première

    Terminale

    College

    University

    Adult Education

    Facultate (Licență)

    Masters/ Graduate School

    Doctorate

    Other

    MBA

    Early childhood education

    Beginner

    Intermediate

    Advanced

    Proficient

    Autres

    Children

  • English

All languages in which the lesson is available :

English

My Machine Learning classes are designed to make complex concepts easy to understand, practical, and job-ready. Whether you're a college student exploring AI, a job seeker preparing for roles in data science, or a working professional upskilling, this course is tailored to meet your needs.

Teaching Techniques & Methods
I follow a concept-to-code approach, where each ML algorithm is explained clearly and then implemented in Python

Emphasis is on real-world datasets, use cases, and hands-on projects

I break down topics using visuals, analogies, and live coding demos

Structure of a Typical Class
Concept explanation (e.g., linear regression, decision trees)

Code walkthrough using Python libraries (scikit-learn, pandas, matplotlib)

Real-world example or mini project

Interactive Q&A and practical task

Weekly assignments or capstone checkpoints

What Makes This Class Unique
Learn CV (Computer Vision) and NLP (Natural Language Processing) with real applications

Work on end-to-end ML projects to build your portfolio

Learn industry-relevant tools and workflows (data preprocessing, model tuning, evaluation)

Get support with resume-building and interview prep

Who Can Join?
College students in tech or analytics fields

Job seekers aiming for ML/Data Scientist roles

Working professionals shifting into AI/ML

Anyone with Python basics and a desire to build smart models

By the end of this course, you’ll be able to understand, build, and deploy machine learning models with confidence and clarity.

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Rates

Rate

  • $6

Pack rates

  • 5 h: $31
  • 10 h: $62

online

  • $6/h

free lessons

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

  • 1hrs

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