1st lesson free
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Sahithya
- Rate £3
- Response 1h
£3/hr
Contact
1st lesson free
- Statistics
I’m a data science and machine learning enthusiast teaching ML concepts, math for ML, and MLOps with practical, hands-on methods for students eager to excel.
- Statistics
Lesson location
About Sahithya
Hi, I’m Sahithya, your data science tutor! I teach machine learning, data science, MLOps and the essential math behind ML using clear explanations and hands-on methods. My classes combine theory, real-world projects, and interactive problem-solving, tailored for students, college learners, or adults who want to confidently master these cutting-edge skills.
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About the lesson
- Primary
- Secondary
- GCSE
- +10
levels :
Primary
Secondary
GCSE
AS Level
A Level
BTEC
Adult Education
Undergraduate
Masters
Diploma
Doctorate
MBA
Nursery
- English
All languages in which the lesson is available :
English
I approach teaching with a hands-on, concept-driven style, aiming to make complex machine learning and data science topics easy to understand. My classes combine theory with practical exercises, real-world examples, and projects so that students can immediately apply what they learn. I structure each session by starting with core concepts, followed by interactive problem-solving, and conclude with a summary and tips for further learning.
I focus on individual progress, tailoring explanations to each student’s background and pace, ensuring that foundational math for ML, algorithms, and MLOps workflows are clear and intuitive. My classes are ideal for high school students preparing for advanced studies, college students, or adults looking to upskill in machine learning and data science.
With a passion for teaching and an emphasis on clarity and application, I help students develop both understanding and confidence in their skills.
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Rates
Rate
- £3
Pack prices
- 5h: £16
- 10h: £31
online
- £3/h
free lessons
The first free lesson with Sahithya will allow you to get to know each other and clearly specify your needs for your next lessons.
- 1hr
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