Doreen

5 (4 reviews)

Rate $72
Response 1h
Students
Number of students Doreen has accompanied since arriving at Superprof
1
Number of students Doreen has accompanied since arriving at Superprof

5 (4 reviews)

$72/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

- online

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.

About the lesson

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.

Recommendations

Recommendations come from relatives, friends and acquaintances of the teacher

D

Daniel

She speaks with clarity and confidence easy to understand
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D
Daniel
She speaks with clarity and confidence easy to understand
E

Ebenezer

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.
Read more

E
Ebenezer
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.
A

Angela

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
Read more

A
Angela
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
K

King

She is loving,caring and has sympathy she has equal time for all her students
Read more

K
King
She is loving,caring and has sympathy she has equal time for all her students
View more recommendations

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5h: $360
10h: $720

online

$72/h

Data Science Lessons: Machine Learning (Supervised &Unsupervised), Algorithms, and Real-World Applications with Python

Lesson location

Recommended

About Doreen

About the lesson

Recommendations

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online

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Data Science Lessons: Machine Learning (Supervised &Unsupervised), Algorithms, and Real-World Applications with Python

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