

Gabriel profile and its contact details have been verified by our experts
Gabriel
- Rate R1152
- Response 1h

R1152/h
Unfortunately, this tutor is not available
- Computer Programming
- Python
- Artificial Intelligence
Experienced Python ML/AI/NLP Tutor teaches high-school and undergrad programming and data science
- Computer Programming
- Python
- Artificial Intelligence
Lesson location
About Gabriel
I'm a master's student in Computer Science at the University of California, Davis, where I specialize in Machine Learning and Natural Language Processing. I've worked as a teaching assistant for courses on Deep Learning and Probability and Statistics.
I have a bachelor's degree in Mechanical Engineering, and about a year and a half of experience as a data scientist in industry.
I've been tutoring data science topics for the past three years, helping students learn Python, machine learning, statistics, data analysis and visualization, and NLP.
About the lesson
- Primary
- Secondary
- Matric/GCSE
- +12
levels :
Primary
Secondary
Matric/GCSE
AS Level
A Level
BTech
Adult education
Masters
Doctorate
MBA
Beginner
Intermediate
Advanced
Professional
Kids
- English
Languages in which the lesson is available :
English
In programming and data science, details are critical, but can also confuse and overwhelm new students. I aim to balance the two, clarifying the big picture so the details can fall into place.
These topics are also constantly growing, with new software and technical knowledge produced every day. I emphasize helping students learn to navigate this sea of information, so they can keep learning and confidently apply their skills to new problems. The most rewarding part of tutoring for me is the "aha!" moment, that transition from confusion to understanding.
My students have described me as patient, down-to-earth, and easy to talk to, with a sense of humor. Most of my students are undergraduates, but I have also helped high school students, as well as graduate students and professionals. I've helped students with deep learning frameworks like Pytorch, Tensorflow and Keras, machine learning libraries like Scikit-learn and Huggingface Transformers, data processing tools like Pandas and Numpy, and data visualization tools like Matplotlib, Seaborn, and Plotly.
I use collaborative code editors, online programming environments, virtual whiteboards, and whatever other tools my students are comfortable with.
Rates
Rate
- R1152
Package rates
- 5h: R5760
- 10h: R11520
online
- R1152/h
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