1^st lesson free

PRATEEK

5 (2 reviews)

Rate $11
Response 1h
Students
Number of students PRATEEK has taught since their arrival at Superprof
3
Number of students PRATEEK has taught since their arrival at Superprof

5 (2 reviews)

$11/h

1^st lesson free

Basic computing
Computer networks
Network
Machine learning

Machine Learning enthusiast who loves teaching the Machine Learning in a unique and interesting way.

Basic computing
Computer networks
Network
Machine learning

Lesson location

- online

About PRATEEK

Hello and thank you for your interest! My name is Prateek, and I’m passionate about making Machine Learning (ML) accessible, engaging, and practical for all learners—whether you're a curious student, a university scholar, or a professional looking to upskill. Why Learn with Me? I bring a strong foundation in machine learning theory, a deep understanding of real-world applications, and a student-first mindset to every lesson I teach. With experience guiding learners from diverse backgrounds—ranging from high school students to working professionals—I tailor my teaching style to meet you where you are and help you grow with confidence. What You Can Expect Clear, Structured Lessons: Each class follows a well-organized format that balances theory, hands-on coding, and real-world examples to keep you both challenged and supported. Interactive, Project-Based Learning: We won't just talk about ML—we'll build it. You'll work on real datasets and projects, so you can apply what you learn immediately. Personalized Support: I take the time to explain not just the how, but the why behind every concept. I'm here to answer questions, review your code, and guide you step-by-step. Professional Insight: I don’t just teach academic ML—I help you understand how it's used in industry, how to build a portfolio, and how to prepare for careers in tech and data science.

About the lesson

My teaching philosophy is rooted in clarity, relevance, and hands-on learning. I combine theory with real-world application to ensure students not only understand the "how" but also the "why."

Techniques I use:

Scaffolded Learning: Starting with core concepts (like linear regression or data preprocessing) and building up to advanced topics (like deep learning or reinforcement learning).

Interactive Coding Sessions: Using Python and libraries like Scikit-learn, TensorFlow, and PyTorch in live notebooks (e.g., Google Colab).

Visual Aids and Analogies: Complex concepts (e.g., gradient descent, overfitting) are explained using diagrams and intuitive analogies.

Project-Based Learning: Every major concept is tied to a mini-project (e.g., spam detection, image classification, recommendation systems).

Feedback Loops: Quizzes, code reviews, and concept checkpoints for real-time understanding.

Recommendations

Recommendations come from relatives, friends and acquaintances of the teacher

V

Vanshika

Prateek is a trustworthy teacher because he explains concepts patiently, encourages questions without judgment, and consistently provides accurate clear information to help students truly understand
Read more

V
Vanshika
Prateek is a trustworthy teacher because he explains concepts patiently, encourages questions without judgment, and consistently provides accurate clear information to help students truly understand
A

Atul

He makes his availability everytime for clearing of concepts. His way of teaching is good and explanation of concepts is also good. He also encourages to do something better in life.
Read more

A
Atul
He makes his availability everytime for clearing of concepts. His way of teaching is good and explanation of concepts is also good. He also encourages to do something better in life.
View more recommendations

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Pack rates

5h: $42
10h: $74

free lessons

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

online

$11/h

Machine Learning enthusiast who loves teaching the Machine Learning in a unique and interesting way.

Lesson location

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About PRATEEK

About the lesson

Recommendations

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