ML Enginner
6 Yrs
Skills: Github, Advanced Machine Learning, Ai with Python, Machine Learning, Mi, Keras, TensorFlow, Pytorch



Compare online machine learning tutors across India for personalised 1-on-1 sessions — from coursework and capstone projects to interview-ready portfolios. Browse verified profiles and book a trial on FindMyGuru.
6 Yrs
Skills: Github, Advanced Machine Learning, Ai with Python, Machine Learning, Mi, Keras, TensorFlow, Pytorch
12 Yrs
Skills: Ai, Machine Learning, Data Science, Data Analysis, Data Visualization, Python Programming, Algorithm Design, Object-oriented Programming (oop), Artificial Intelligence, Mi, NumPy, Python classes for kids
6 Yrs
Skills: A & AS Level Mathematics, Ai, Ai with Python, Machine Learning, Deep Learning, Artificial Intelligence, Keras, TensorFlow, Pytorch, AI classes for kids
6 Yrs
Skills: Full Stack, Advanced Machine Learning, Advanced Python Programming, Machine Learning, Deep Learning, Data Science, Python Programming, Advanced Excel, Keras, TensorFlow, Pytorch, Coding Programming
5 Yrs
Skills: Dsa (data Structures and Algorithms), Basic Sql, Ai with Python, Machine Learning, Deep Learning, Natural Language Processing (nlp), Power BI
5 Yrs
Skills: Ai with Python, Machine Learning
5 Yrs
Skills: Ai, Ai Ml, Machine Learning, Artificial Intelligence, Machine Learning / AI Basics
1 Yrs
Skills: Machine Learning, Machine Learning / AI Basics
1 Yrs
Skills: Class 10 Math, Advanced Machine Learning, Advanced Python, Machine Learning, Python Programming, Mathematics, Maths (Grades 6 to 10), Math, Maths for JEE Mains, Class 8 Mathematics, Class 9 Mathematics, Class 10 Mathematics, Advanced Python for Data Engineering, maths class 6, maths class 7, Class 6, Class 7, Class 8, Class 9, Class 10, Class 6-10, Class 11, Class 12, Maths, Statistics, Python, Exam Preparation
0 Yrs
Skills: Full Stack, Ai and Data Analytics, Ai Ml, Machine Learning, Deep Learning, Natural Language Processing (nlp), Supervised Learning, Regression, Model Deployment, Convolutional Neural Networks (cnns), Recurrent Neural Networks (rnns), Data Science, Data Visualization, Data Preprocessing, Python Programming
12 Yrs
Skills: Excel, Ai and Data Analytics, Machine Learning, Data Science, Data Analysis, Data Visualization, Data Modeling (conceptual, Logical, Physical), Problem Solving, Data Science with Python, Power BI, SQL, Advanced Excel, Python for Data Science, Data Analytics, Python
12 Yrs
Skills: Eda, Matplotlib, Numpy, Pandas and Matplotlib, Machine Learning, Supervised Learning, Data Science, Data Visualization, Data Preprocessing, Data Science with Python, SQL, Python for Data Science, statistics and probability, Statistics, Python, Pandas
10 Yrs
Skills: Matplotlib, Numpy, Pandas and Matplotlib, Ai and Data Analytics, SAP Business Intelligence (bi), Machine Learning, Supervised Learning, Data Science, Data Visualization, Data Cleaning, Power BI, SQL, Advanced Excel, statistics and probability, Data Analytics, Statistics, Python, Pandas, Probability, Generative AI
4 Yrs
Skills: Jee Main Mathematics, Bank Mathematics, Year 11 Mathematics, Plus Two Mathematics (kerala State Syllabus), Undergraduate Mathematics, 12th Python, Machine Learning, Data Science, Data Analysis, Problem Solving, Mathematics, Math, Class 11 Mathematics, Class 12 Mathematics, statistics and probability, CBSE Class 12 Mathematics, Reasoning, Class 11, Class 12, Maths, Statistics, Banking, Calculus, Linear Algebra, Probability
2 Yrs
Skills: Excel, Nlp, Object Oriented Programming with Python, Sql Query Writing, Matplotlib, Numpy, Pandas and Matplotlib, Ai and Data Analytics, Web Design, Machine Learning, Natural Language Processing (nlp), Data Science, Data Analysis, Data Visualization, Relational Databases (rdbms), Python Programming, Data Structures, Object-oriented Programming (oop), Programming Language, Data Science with Python, Tableau, SQL, OOP, Python for Data Science, Advanced SQL for Data Engineering, Statistics, Pandas, Computer Programming, Probability, Data types
27 Yrs
Skills: All Computer Science Engineering Subjects, Cnn, Llm, Nlp, Nlp Basics, Numpy, Pandas and Matplotlib, Vector, Machine Learning, Deep Learning, Natural Language Processing (nlp), Supervised Learning, Regression, Neural Networks, Data Science, Data Visualization, Data Preprocessing, Prompt Engineering, Retrieval Augmented Generation (rag), Python Programming, Object-oriented Programming (oop), Programming Language, Data Science with Python, Artificial Intelligence, OOP, Machine Learning / AI Basics, Statistics, NumPy, Pandas, Computer Programming, Data Handling, Coding Programming, File handling, Coding Interview, Langchain Llm App Development
4 Yrs
Skills: Dsa (data Structures and Algorithms), Advanced Oops, Java, Machine Learning, Data Science, Data Analysis, Object-oriented Programming (oop), core java, Data Analytics, Python
12 Yrs
Skills: Machine Learning, Supervised Learning, Regression, Feature Engineering, Model Deployment, Scikit-learn, Interview Preparation, NumPy, Pandas
14 Yrs
Skills: Advanced Data Communications Technology, Machine Learning, Deep Learning, Natural Language Processing (nlp), Python Programming, Artificial Intelligence, Data Handling
12 Yrs
Skills: Dsa (data Structures and Algorithms), Dsa (data Structures and Algorithms), Advanced Python, Machine Learning, Python Programming, Object-oriented Programming (oop), Artificial Intelligence, core java, Advanced Python for Data Engineering, Python, AI Agentic Systems
Browse qualified tutors, compare profiles, and connect directly.
Join thousands of tutors who are sharing their knowledge and helping students succeed.
We'll match you with tutors based on your goals, budget, and schedule.
Chat With UsNot every "machine learning" search means the same thing. A second-year B.Tech student stuck on a scikit-learn assignment needs something different from a working professional trying to move into an ML engineering role, and both need something different again from a researcher polishing a thesis chapter on model evaluation. FindMyGuru's directory of online machine learning tutors lets you filter by exactly that — what stage you're at, what you're trying to finish, and how you learn best — rather than pushing everyone through the same generic curriculum.
Every tutor profile on the platform shows real teaching history, listed skills, and years of experience, so you can shortlist based on evidence rather than a sales pitch. You contact tutors directly, agree on a plan together, and there's no obligation until you've sat through a trial class.
These three terms get used almost interchangeably in casual conversation, which makes searching for the right tutor confusing. Machine learning specifically covers algorithms that learn patterns from data — regression, classification, clustering, and the maths underneath them. Artificial intelligence is the broader umbrella, including things like reasoning systems and generative models that go beyond classical ML. Data science leans more heavily on statistics, data cleaning, and business analysis, with ML as just one tool in that toolkit.
If your syllabus, job description, or project brief mentions specific terms — scikit-learn, TensorFlow, PyTorch, supervised learning, neural networks — you're squarely in ML territory, and that's the specialisation to search for on FindMyGuru. If you're unsure, most tutors are happy to clarify on a quick call before you commit to a trial.
A tutoring trial works best when you've already done a small amount of homework. Before booking, look for:
A visible portfolio or GitHub link. A tutor who can point to real projects — even small ones — teaches ML differently from one who only references certifications.
Comfort with your specific tools. Someone who has taught scikit-learn workflows for years may not be the strongest fit if you specifically need TensorFlow or PyTorch for a deep learning module.
How they handle the math. Ask directly how much linear algebra, calculus, and probability they expect you to already know, and how they'll fill gaps if you don't.
Teaching format fit. Some tutors run heavily project-based sessions; others lean toward structured, textbook-style instruction. Neither is wrong — but it should match how you actually retain information.
Response time and scheduling flexibility, especially if you're balancing tutoring around a job, semester exams, or placement season.
A short, honest conversation before the first paid session saves both sides time later.
Students and researchers. B.Tech, M.Tech, and MCA students often come in mid-semester, stuck on a specific assignment, lab exercise, or capstone project, needing someone who can debug alongside them rather than re-teach a whole course from scratch.
Career switchers and software engineers. Developers moving from general software roles into ML or data-adjacent positions usually want a faster, more targeted path — enough theory to reason about a model, paired with hands-on project work they can show in interviews.
Working professionals preparing for interviews. This group typically already has some ML exposure and wants focused practice on algorithm intuition, case studies, and the kind of applied questions that come up in technical rounds.
Self-learners who stalled after a MOOC. Free and paid online courses are useful for the first few weeks, but many learners hit a wall once concepts stop being linear — a 1-on-1 tutor is often what gets them unstuck.
Sessions on this page are conducted online, so you can work with a tutor anywhere in India (or abroad) without location limiting your options — useful if the strongest match for your specific tools or exam board happens to be based in another city.
Every tutor customises the pace and order to the learner, but most structured ML tutoring roughly follows this shape:
Stage | Typical Focus | Rough Duration |
|---|---|---|
Foundations | Python for data work, NumPy/Pandas, core statistics, linear regression, logistic regression | 3–5 weeks |
Core ML | Decision trees, ensemble methods (random forests, boosting), SVMs, clustering, model evaluation metrics | 5–7 weeks |
Applied / Advanced | Neural networks, an introduction to a deep learning framework (TensorFlow or PyTorch), a portfolio project end-to-end | 6–10 weeks |
Treat this as a reference point, not a fixed package — a student debugging one specific assignment might need two sessions, while someone building a job-ready portfolio might work with a tutor for several months.
Fees for private ML tutoring in India vary widely based on the tutor's experience, the depth of the topic, and session length — broadly, private online tech tutoring across Indian platforms tends to fall somewhere in the ₹300 to ₹2,000+ per hour range, with more experienced tutors and specialised deep-learning or MLOps coaching sitting toward the higher end. Treat any number you see, including this one, as an indicative starting point — always confirm the actual rate directly with the tutor before booking, since it depends on their specific background and your session format.
FindMyGuru doesn't assign you a tutor — it gives you the information to choose one yourself. Profiles list a tutor's stated experience, subject skills, and teaching history, and you can message shortlisted tutors directly to ask about their approach before paying anything. There's no bidding war or hidden commission built into the price you agree with your tutor, and a free trial session is the norm before you commit to a longer plan.
If you're also building broader technical skills alongside ML — say, wrapping a model in a simple web app — it's worth browsing FindMyGuru's online web development tutors as a complementary skill. And if you're a working ML practitioner rather than a learner, you can list your profile and start receiving direct student enquiries instead of paying to advertise elsewhere.
Whether you need help finishing one stubborn assignment or want a structured multi-month path into ML, the right tutor makes the difference between staying stuck and actually building something you understand. Browse online machine learning tutors on FindMyGuru, compare a few profiles, and book a trial session with the one who fits how you actually learn.
A machine learning tutor focuses on algorithms, model building, and evaluation — regression, classification, neural networks, and similar techniques. A data science tutor usually covers a wider net that includes statistics, data cleaning, visualisation, and business analysis, with ML as one part of that. If your immediate need is model-building specifically, search for an ML-focused tutor.
Rates vary by tutor experience and topic depth, but private online tech tutoring in India broadly falls in the ₹300 to ₹2,000+ per hour range. Always confirm the exact rate with your shortlisted tutor before booking, since it depends on their background and the format you choose.
Basic comfort with algebra and simple statistics is enough to begin — you don't need a math degree first. A good tutor will build up linear algebra, calculus, and probability concepts alongside the ML topics as they become relevant, rather than requiring you to master them upfront.
Yes, but expect the initial weeks to focus on Python fundamentals before ML concepts begin. Tutors on FindMyGuru who work with true beginners typically build in this foundation stage rather than assuming prior programming experience.
This depends heavily on your starting point and target role, but learners going from basic Python to a portfolio-ready skill set often spend several months in structured 1-on-1 sessions, working consistently rather than in short bursts. A tutor can give you a more specific estimate once they understand your background and goal.
Most sessions run over standard video-call software with screen sharing, alongside coding environments like Jupyter Notebook, VS Code, or Google Colab. Your tutor will typically confirm their preferred setup before your first session.
Recorded courses are useful for structured content, but they can't adapt when you get stuck on something specific or correct a misunderstanding in real time. A 1-on-1 tutor can adjust pace, revisit weak areas, and review your actual code or project — something a fixed video course can't do.
Search for machine learning tutors on FindMyGuru, filter by experience or specialisation, and message a tutor directly through their profile. Most tutors offer a free trial session before you commit to a longer plan, with no advance payment required.