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Doreen
- Rate 442 GHS
- Response 1h
-
Students1
Number of students Doreen has accompanied since arriving at Superprof
Number of students Doreen has accompanied since arriving at Superprof
442 GHS/hr
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- Computer programming
- Python
- Programming languages
- Artificial Intelligence
Data Science Lessons: Machine Learning (Supervised &Unsupervised), Algorithms, and Real-World Applications with Python
- Computer programming
- Python
- Programming languages
- Artificial Intelligence
Lesson location
Recommended
Doreen is a respected member of our tutor community. She is highly recommended for her commitment and the quality of her lessons. An excellent choice to progress with confidence.
About Doreen
I am an experienced Data Analyst with a Master’s in Data Science from the University of Westminster and a BA in Economics. My expertise in Python, Excel, Power BI, and SQL is complemented by a proven ability to teach complex data science concepts effectively. I have a strong track record of translating intricate topics into accessible lessons, helping students and professionals alike to grasp advanced data analysis, machine learning, and statistical modeling. My hands-on approach includes practical exercises and real-world projects, ensuring that learners not only understand theoretical concepts but also apply them confidently. Passionate about education, I strive to make data science both engaging and practical.
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About the lesson
- Primary school
- Junior high school
- SHS 1
- +14
levels :
Primary school
Junior high school
SHS 1
SHS 2
SHS 3
BTS
Adult Education
Facultate (Licență)
Master's degree
Higher national diploma
Doctor of philosophy
MBA
Beginner
Intermediate
Advanced
Professionel
Child
- English
All languages in which the lesson is available :
English
Approach and Methodology:
I offer an immersive, hands-on learning experience that blends theoretical knowledge with practical coding exercises. My lessons emphasize building and applying machine learning models using Python, focusing on real-world applications and projects. By integrating theory with practical exercises, students gain a comprehensive understanding of how to implement machine learning techniques and solve complex problems.
Topics I Teach:
Machine Learning Algorithms: Cover both supervised learning techniques such as regression and classification, and unsupervised learning methods like clustering. Students will explore decision trees, random forests, and neural networks, learning how to select and apply the right algorithm for different types of data and problems.
Data Preprocessing: Techniques for cleaning and preparing data, including handling missing values, normalization, and feature selection, are crucial for effective analysis and model performance.
Model Evaluation: Learn to evaluate model performance using metrics like accuracy, precision, recall, and F1 score. Emphasis is placed on improving model accuracy through tuning and validation techniques.
Algorithm Implementation: Utilize libraries such as Scikit-learn, Pandas, and NumPy to build, test, and refine models. Practical experience includes coding from scratch and using pre-built functions for efficient development.
Practical Projects & Exercises:
Students engage in real-world projects such as developing predictive models, creating classification systems, and building recommendation engines. These projects use real datasets, providing hands-on experience and reinforcing learning through application.
Typical Lesson Length:
Lessons are 90 minutes long, balancing theoretical concepts with practical coding exercises. This duration allows for a deep dive into each topic and ensures adequate time for hands-on practice.
Who It’s For:
These lessons are ideal for aspiring data scientists, students, or professionals all ages with a basic understanding of programming. They are designed for those looking to advance their knowledge in machine learning and algorithms, applying these skills in practical scenarios.
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Recommendations
Recommendations come from relatives, friends and acquaintances of the teacher
4
She speaks with clarity and confidence easy to understand
I highly recommend Doreen Gyamfi for her exceptional teaching skills in data science, maths and IT. Her clear, engaging approach makes complex concepts accessible and practical. With her strong background and hands-on methodology, Doreen is a standout educator who delivers valuable insights and effective learning experiences.
The clarity and organization of your lessons are exceptional. I appreciate how you break down concepts in a way that allows us to thoroughly understand the material
She is loving,caring and has sympathy she has equal time for all her students
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Rates
Rate
- 442 GHS
Pack prices
- 5h: 2210 GHS
- 10h: 4420 GHS
online
- GHS442/h
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