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Jaival
- Rate R352
- Response 1h

R352/h
1st lesson free
- Machine learning
University of Toronto Engineering Science Student Offering Online Machine Learning Tutoring in Python, Data Science, AI Fundamentals, and Practical Projects for Beginners and University Students.
- Machine learning
Lesson location
About Jaival
Hi! I'm a University of Toronto Engineering Science student specializing in Electrical and Computer Engineering, with a strong interest in artificial intelligence, machine learning, programming, and applied mathematics.
My Academic Background: I study Engineering Science at the University of Toronto, widely regarded as one of Canada's most academically rigorous engineering programs. My education has given me a strong foundation in mathematics, programming, algorithms, and analytical problem-solving, all of which are essential to understanding machine learning.
As a former International Baccalaureate (IB) student, I also understand the importance of building strong academic foundations and learning how to approach complex problems systematically.
My Engineering Experience: I am currently completing an Electrical Engineering internship at MDA Space, where I contribute to radiation analysis and FPGA-related electronics development for advanced aerospace systems.
My engineering experience has strengthened my technical problem-solving skills and reinforced the importance of understanding how theoretical concepts translate into practical applications.
Alongside my professional experience, I have worked on engineering and programming projects involving software development, technical analysis, and problem-solving.
Why I Teach Machine Learning: What excites me about machine learning is the combination of mathematics, programming, and real-world applications.
I believe that understanding artificial intelligence should go beyond simply running code or using existing models. Students should develop an intuition for how algorithms work, why models make certain predictions, and how to evaluate their performance.
My goal is to make these concepts approachable for beginners and early university students, helping them build confidence through clear explanations, guided programming exercises, and practical examples.
Whether you're learning Python for the first time, exploring the fundamentals of machine learning, or working through an introductory university course, I aim to create a supportive environment where you can ask questions, strengthen your understanding, and develop practical technical skills.
About the lesson
- Primary
- Secondary
- Matric/GCSE
- +13
levels :
Primary
Secondary
Matric/GCSE
AS Level
A Level
BTech
Adult education
Masters
Doctorate
Other
MBA
Beginner
Intermediate
Advanced
Professional
Kids
- English
Languages in which the lesson is available :
English
My approach to teaching Machine Learning is simple: understand the mathematics and reasoning behind AI, then apply those concepts by building real projects.
As a University of Toronto Engineering Science student specializing in Electrical and Computer Engineering, I bring a strong foundation in mathematics, programming, and analytical problem-solving to my lessons.
I offer personalized, online Machine Learning tutoring for beginners, high-school students, and first- and second-year university students who want to develop their understanding of artificial intelligence and its practical applications.
My Teaching Approach: Every lesson is tailored to the student's experience, learning pace, and goals. Rather than simply memorizing algorithms or copying code, students learn how machine learning models work, why certain approaches are used, and how to apply them independently.
A Typical Lesson Includes:
- Conceptual Understanding: Breaking down complex machine learning concepts into simple, intuitive explanations.
- Mathematical Foundations: Understanding the linear algebra, probability, statistics, and calculus behind machine learning algorithms.
- Hands-On Programming: Implementing machine learning concepts using Python and exploring libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn.
- Practical Projects: Applying learned concepts to datasets through guided exercises and beginner-friendly projects.
- Problem-Solving and Debugging: Learning how to identify errors, improve models, and interpret results.
Topics I Can Help With
- Introduction to Artificial Intelligence and Machine Learning
- Python Programming for Machine Learning
- Linear Regression and Logistic Regression
- Classification and Supervised Learning
- Model Training, Testing, and Evaluation
- Overfitting, Underfitting, and Regularization
- Introduction to Neural Networks and Deep Learning
- Mathematics for Machine Learning
- Beginner Machine Learning Projects
Who My Lessons Are For:
- Beginners: Students with little or no prior machine learning experience.
- High-School Students: Those interested in exploring artificial intelligence, Python, and data science.
- University Students: First- and second-year students looking for support with introductory machine learning, programming, or mathematical foundations.
- Aspiring Engineers and Developers: Individuals interested in understanding how machine learning can be applied to real-world problems.
My Goal: I want students to leave each session with more than just working code. My goal is to help them develop a solid understanding of machine learning, gain confidence in their programming abilities, and build the foundational skills needed to explore more advanced AI applications independently.
Rates
Rate
- R352
Package rates
- 5h: R1760
- 10h: R3520
free lesson
The free first lesson with Jaival allows you to get to know the tutor and discuss your needs and expectations.
- 1h
online
- R352/h
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