1st lesson free
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Agnes
- Rate 147 GHS
- Response 1h
147 GHS/hr
Contact
1st lesson free
- Machine learning
Data Science Postgraduate (UT Austin) teaching Machine Learning, Statistics and Python-Help with Assignments and Projects
- Machine learning
Lesson location
About Agnes
I hold a postgraduate degree in Data Science from the University of Texas at Austin and have more than three years of teaching experience as an Assistant Professor in an engineering college. I enjoy helping learners understand analytical concepts and develop strong problem-solving skills.
My interests include Machine Learning, Statistics, and data analysis, and I enjoy guiding learners through practical data problems using real datasets and examples. Many of the concepts are explained using Python-based tools commonly used in data science and statistical analysis.
I am also interested in research areas where data science can be applied to fields such as mental health and neuroscience, exploring how analytical methods can help understand complex human and behavioral patterns.
I enjoy mentoring learners who are working on assignments, projects, or exploring concepts in statistics, machine learning, and data analysis.
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About the lesson
- Primary school
- Junior high school
- SHS 1
- +20
levels :
Primary school
Junior high school
SHS 1
SHS 2
SHS 3
BTS
University education
Adult Education
Facultate (Licență)
Master's degree
Higher national diploma
Doctor of philosophy
Other
GDL
Qualified Lawyer Transfer Scheme
MBA
Pre school
Beginner
Intermediate
Advanced
Professionel
Others
Child
- English
All languages in which the lesson is available :
English
My sessions focus on helping learners understand Machine Learning, Statistics, and Python for Data Science through clear explanations and practical examples. Concepts are explained using real-world use cases and datasets so learners can connect theory with practical applications.
I provide guidance at different stages of a data science problem depending on where a learner needs support, including:
• Understanding the objective of a data science problem
• Working with datasets and exploratory data analysis
• Feature selection and identifying important variables
• Choosing appropriate statistical tests for analysis
• Selecting suitable machine learning models
• Model evaluation and interpretation of results
Guidance with assignments, projects, and applied data problemsData science methods can be applied to datasets from many different fields, and I enjoy helping learners explore analytical approaches regardless of the domain of the data.
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Rates
Rate
- 147 GHS
Pack prices
- 5h: 733 GHS
- 10h: 1,466 GHS
free lessons
The first free lesson with Agnes will allow you to get to know each other and clearly specify your needs for your next lessons.
- 1hr
online
- GHS147/h
Details
The first session (1 hour) is offered free so learners can discuss their requirements and understand the learning approach. Regular sessions focus on Machine Learning, Statistics, and Python for Data Science using practical examples and real datasets.
Guidance can be provided for assignments, projects, statistical test selection, model selection, and understanding different steps of the data science workflow. Sessions are conducted online and can focus on specific problem areas or broader conceptual understanding depending on the learner’s needs.
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