6 tutors found
Krishna Singh
LUCKNOW
₹1,500
per hour
- Subject listed: All Subjects
- Location listed: LUCKNOW
To teach students up to Class 8 Helped students improve their academic performance. Assisted with homework and exam preparation.
Atiya ashraf jahan
Lucknow
₹400
per hour
- Location listed: Lucknow
Devanshi Budhraja
Online
₹500
per hour
- Location listed: Lucknow
I am an M.Com student with a Commerce background and a passion for teaching. I teach Economics, Accountancy, Business Studies and Marketing in a simple and concept-based manner. My teaching style focuses on clear explanations, practical examples and student-friendly learning so that students can understand concepts easily and improve their confidence. I conduct online classes in both English and Hindi and aim to create a comfortable and interactive learning environment for students.
Trisha Pandey
Lucknow
₹600
per hour
- Subject listed: All Subjects
- Location listed: Lucknow
I am a dedicated and patient tutor who enjoys helping students learn in a simple and easy way. I focus on building strong concepts, improving confidence, and helping students achieve better academic results. I teach with care and adapt my lessons according to each student's learning needs. I have 2 yr experience
Minha
AISHBAGH
₹300
per hour
- Location listed: LUCKNOW
I am a college student pursuing bachelor’s in science, though I have just began my career as a tutor but I am really looking forward to make learning and lessons easy understandable and fun for my students
lovey Mishra
LUCKNOW
₹362
per hour
- Location listed: LUCKNOW
I teach Artificial Intelligence from the absolute basics to advanced concepts, making even complex topics easy to understand through clear explanations, practical examples, and a step-by-step learning approach. My goal is not just to help students understand AI theoretically but also to enable them to apply their knowledge to solve real-world problems. The learning journey begins with the fundamentals of AI, Python programming, mathematics, statistics, and data analysis. These foundations help students understand how intelligent systems work and how machines learn from data. Instead of treating mathematics as a difficult subject, I explain the mathematical concepts behind AI in a simple and intuitive way, using visualizations, examples, and practical demonstrations. Students gradually explore essential mathematical concepts such as linear algebra, calculus, probability, statistics, and optimization. They learn how these concepts power machine learning algorithms, neural networks, and deep learning models. By understanding the mathematics behind AI, students gain deeper insights into how algorithms make predictions, learn patterns, minimize errors, and improve their performance. As students progress, they explore advanced topics, including supervised and unsupervised learning, regression, classification, decision trees, clustering, artificial neural networks, deep learning, natural language processing (NLP), computer vision, generative AI, and large language models (LLMs). Each concept is explained clearly, connecting theoretical knowledge with practical applications. Real-world projects are an essential part of my teaching methodology. Students apply their learning by building practical solutions such as house price prediction systems, spam email classifiers, recommendation engines, customer churn prediction models, image recognition applications, AI-powered chatbots, and intelligent document analysis tools. These projects help students develop problem-solving abilities, gain hands-on experience, and build a portfolio that demonstrates their skills.