

Feng profile and its contact details have been verified by our experts
Feng
- Rate R723
- Response 1h
-
Students2
Number of students Feng has accompanied since joining Superprof
Number of students Feng has accompanied since joining Superprof

R723/h
Unfortunately, this tutor is not available
- Data Analysis
Accomplished IT and Data Science Tutor (Machine Learning, Data Mining, Python, and Java)
- Data Analysis
Lesson location
About Feng
Hi there! My name’s Feng.
I am currently a PhD student studying Computer Science and Engineering at UNSW. I specialize in Machine Learning, Data Mining, Python, and Java.
I also hold a degree in Electrical Engineering, majoring in Telecommunication, and Automatic Control.
I have published 23 papers in Computer Science and Electrical Engineering fields.
I have prior work experience in Embedded System Development and Web Development, specialized in C Programming, Java Script, HTML, CSS, and React.
Thanks to my several years of tutoring experience at UNSW, I’m able to help my students so that they can tackle much of their work on their own eventually; thus, I’m actually keen on passing my knowledge to others and happy to help learners at any levels.
About the lesson
- Primary
- Secondary
- Matric/GCSE
- +12
levels :
Primary
Secondary
Matric/GCSE
AS Level
BTech
Adult education
Undergraduate
Masters
Diploma
Doctorate
Beginner
Intermediate
Advanced
Professional
Kids
- English
Languages in which the lesson is available :
English
Suggested areas:
o Coding Fundamentals
o Programming Fundamentals
o Computer Systems Fundamentals
o Object-oriented Design and Programming
o Data Structures and Algorithms
o Computer Architecture
o Foundations of Computer Science
o Concepts of Programming Languages
o Neural Networks and Deep Learning
o Circuits and Signals Processing
o Embedded System Design
o Digital Signal Processing
o Control Systems
o Computer Control Systems
o Analogue and Digital Communications
Feel free to message me for free consultations.
Rates
Rate
- R723
Package rates
- 5h: R3615
- 10h: R7230
online
- R723/h
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