Machine Learning with Python and PyTorch: Practical Hands-on Training

From 28.7 $ /h

Welcome to "Machine Learning with Python and PyTorch: Practical Hands-on Training," a beginner-friendly course designed to introduce you to the exciting world of machine learning using two of the most popular tools in the industry: Python and PyTorch. This course focuses on practical, hands-on learning, ensuring you gain the skills needed to start building your own machine learning models.

#### Course Objectives:
- **Introduction to Machine Learning:** Understand the basic concepts and principles of machine learning.
- **Python Programming for Machine Learning:** Learn Python programming essentials tailored for machine learning applications.
- **PyTorch Fundamentals:** Get acquainted with PyTorch, a powerful and flexible deep learning framework.
- **Practical Experience:** Gain hands-on experience by working on real-world projects and exercises.
- **Model Building and Evaluation:** Learn to build, train, and evaluate various machine learning models.

#### Course Outline:
1. **Introduction to Machine Learning:**
- What is machine learning?
- Types of machine learning: supervised, unsupervised, and reinforcement learning
- Applications of machine learning in different industries

2. **Python Programming Essentials:**
- Introduction to Python programming
- Data structures and libraries (NumPy, Pandas)
- Basic data manipulation and visualization (Matplotlib, Seaborn)

3. **Getting Started with PyTorch:**
- Introduction to PyTorch and its ecosystem
- Setting up your environment and installation
- Understanding tensors and basic tensor operations

4. **Building Your First Machine Learning Model:**
- Data preprocessing and preparation
- Splitting data into training and testing sets
- Building a simple linear regression model with PyTorch

5. **Training and Evaluating Models:**
- Understanding the training process
- Loss functions and optimization algorithms
- Evaluating model performance using metrics

6. **Advanced Models and Techniques:**
- Introduction to neural networks
- Building and training a neural network with PyTorch
- Exploring convolutional neural networks (CNNs) for image classification

7. **Practical Projects and Applications:**
- Hands-on projects to reinforce learning
- Real-world applications and case studies
- Tips and best practices for successful machine learning projects

8. **Next Steps in Your Machine Learning Journey:**
- Exploring further learning resources
- Joining machine learning communities and forums
- Preparing for advanced topics and courses

#### Who Should Enroll:
- Beginners with no prior experience in machine learning
- Individuals interested in learning Python programming
- Aspiring data scientists and machine learning enthusiasts

#### Prerequisites:
- Basic computer literacy and familiarity with high school-level mathematics
- No prior programming or machine learning experience required

#### Course Outcomes:
By the end of this course, you will be able to:
- Understand the fundamental concepts of machine learning
- Write and execute Python code for machine learning tasks
- Use PyTorch to build, train, and evaluate machine learning models
- Apply your knowledge to real-world problems and projects
- Take the next steps in advancing your machine learning skills

Join us in "Machine Learning with Python and PyTorch: Practical Hands-on Training" to embark on your journey into the fascinating world of machine learning. Gain the skills and confidence needed to build and deploy your own models, and start making an impact with machine learning today.

Location

Online from Canada

About Me

Programming with several programming languages, such as C, JAVA, and Python.
Data scientist: extracting knowledge from structured, semi-structured, and unstructured data.
Teach programming languages and data science.
Five years of experience in teaching.

Education

Ph.D. in Artificial Intelligence Multi-modal from Sidi Mohamed Ben Abdellah University.
Master's degree in Big Data analytics and smart systems, from Sidi Mohamed Ben Abdellah University.
Bachelor's degree in Computer Science and Mathematics from Ibn Zohr University

Experience / Qualifications

Five years of experience in teaching.
Freelancer in several programming projects.

Age

Children (7-12 years old)

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

60 minutes

The class is taught in

English

Arabic

French

Skills

Python

Computer programming

Availability of a typical week

(GMT -04:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Teaching the Programming language(JAVA, Python, C, JavaScript)

23.91 $ /h

### Course Description: Teaching the Programming Languages (JAVA, Python, C, JavaScript)

Welcome to the comprehensive course on Teaching the Programming Languages: JAVA, Python, C, and JavaScript. This course is designed for aspiring programmers and educators who aim to master the fundamentals and advanced concepts of four of the most popular programming languages in the industry.

#### Course Objectives:
- **Introduction to Programming Concepts:** Understand the core principles of programming, including variables, data types, control structures, functions, and algorithms.
- **Language-Specific Syntax and Features:** Gain proficiency in the syntax and unique features of JAVA, Python, C, and JavaScript.
- **Hands-On Coding Practice:** Apply your knowledge through numerous coding exercises, projects, and real-world scenarios.
- **Debugging and Problem-Solving:** Develop strong debugging and problem-solving skills to efficiently resolve coding issues.
- **Advanced Topics:** Explore advanced topics such as object-oriented programming, web development, data structures, and algorithms.
- **Teaching Methodologies:** Learn effective teaching strategies to impart programming knowledge to others, whether in a classroom setting or online.

#### Course Outline:
1. **Introduction to Programming:**
- Basics of programming and computational thinking
- Overview of the four languages: JAVA, Python, C, and JavaScript

2. **JAVA Programming:**
- Syntax and basic constructs
- Object-oriented programming concepts
- Exception handling and multithreading
- Building GUI applications

3. **Python Programming:**
- Syntax and basic constructs
- Data structures and libraries
- Functional programming and modules
- Web development with Flask/Django

4. **C Programming:**
- Syntax and basic constructs
- Memory management and pointers
- File handling and system programming
- Data structures and algorithm implementation

5. **JavaScript Programming:**
- Syntax and basic constructs
- DOM manipulation and event handling
- Asynchronous programming and AJAX
- Front-end frameworks (React, Angular, or Vue.js)

6. **Integrated Projects:**
- Cross-language projects to solidify understanding
- Real-world applications and problem-solving

7. **Teaching Strategies:**
- Curriculum development and lesson planning
- Interactive and engaging teaching methods
- Assessment and feedback techniques

#### Who Should Enroll:
- Aspiring programmers who want to learn multiple programming languages
- Educators and trainers looking to enhance their teaching skills
- Professionals seeking to expand their coding expertise for career advancement

#### Prerequisites:
- Basic understanding of computer operations
- No prior programming experience required, but familiarity with basic programming concepts is beneficial

#### Course Outcomes:
By the end of this course, you will be able to:
- Write, debug, and optimize code in JAVA, Python, C, and JavaScript
- Develop comprehensive projects using each language
- Effectively teach programming concepts to others
- Apply advanced programming techniques to solve complex problems

Join us in this journey to become proficient in four powerful programming languages and enhance your teaching abilities to inspire the next generation of coders.

AI and data science (the steps to handle a project)

31.09 $ /h

Embark on a comprehensive journey through Artificial Intelligence and Data Science with our course, "AI and Data Science: The Steps to Handle a Project." This course is meticulously designed for individuals who aspire to become proficient in managing and executing AI and data science projects from inception to deployment.

#### Course Objectives:
- **Foundational Knowledge:** Understand the core principles of AI and data science, including key concepts, methodologies, and tools.
- **Project Lifecycle Management:** Learn the systematic approach to handling AI and data science projects through each project lifecycle phase.
- **Hands-On Experience:** Gain practical experience through real-world projects and case studies.
- **Advanced Techniques:** Explore advanced techniques and algorithms in AI and data science.
- **Ethical and Responsible AI:** Understand the ethical implications and best practices for responsible AI development and deployment.

#### Course Outline:
1. **Introduction to AI and Data Science:**
- Overview of AI and data science
- Key concepts and terminologies
- Applications and industry use cases

2. **Project Scoping and Planning:**
- Defining the problem statement
- Identifying objectives and success metrics
- Project planning and timeline management

3. **Data Collection and Preprocessing:**
- Data collection methods and sources
- Data cleaning, transformation, and integration
- Exploratory data analysis and visualization

4. **Model Development:**
- Selection of appropriate algorithms and models
- Training, validation, and testing of models
- Hyperparameter tuning and optimization

5. **Model Evaluation and Validation:**
- Evaluation metrics and performance analysis
- Cross-validation techniques
- Model interpretability and explainability

6. **Deployment and Monitoring:**
- Model deployment strategies and tools
- Monitoring and maintaining model performance
- Continuous integration and continuous deployment (CI/CD)

7. **Project Documentation and Presentation:**
- Creating comprehensive project documentation
- Presenting findings and insights to stakeholders
- Effective communication of technical results

8. **Ethics and Best Practices:**
- Ethical considerations in AI and data science
- Ensuring fairness, accountability, and transparency
- Best practices for sustainable and responsible AI

#### Course Outcomes:
By the end of this course, you will be able to:
- Manage and execute AI and data science projects from start to finish
- Collect, preprocess, and analyze data effectively
- Develop, evaluate, and deploy robust AI models
- Communicate insights and results clearly to stakeholders
- Apply ethical and responsible practices in AI development

Join us to master the end-to-end process of handling AI and data science projects and become a proficient practitioner capable of delivering impactful solutions.

Gaëlle

5.0

(3)

Most kids think coding is for "smart kids" or "future programmers."
It's not. Coding is how real people solve real problems.
In this class, we skip the theory. Your child creates real things.

What they'll do:
✓ Build real projects in Scratch: a working game, an interactive animation, a story they coded
✓ Program virtual robots: solve real-world challenges (navigate a maze, automate a task, build a system)
✓ Create in Minecraft Education: design worlds, automate constructions, solve logic problems
✓ Experiment with different languages: not just learn "the right way," but understand that there are many ways to think about a problem
✓ Collaborate and share: work with other kids, get feedback, improve their work
✓ Develop logical thinking: not just for coding, but for anything: solving math problems, science challenges, real-world situations

Why this is different:
We don't teach syntax. We teach how programmers think.
Most children's coding courses say "here's the code, copy it." We teach "what problem are we trying to solve? How could we break it into steps? What options do we have?"
When your child learns to think like a programmer, they can learn any language afterward.

What they take home:
A portfolio of 3–4 completed, working projects. The ability to say "I built this." And the deep understanding that code is a tool to make real things happen.

Format: Online or Barcelona | 60–90 min sessions | Flexible pace, no prior experience needed
For curious 8-12 year olds who want to build.

5.0

(3)

Hello, I am a doctoral student in electrical engineering and associate professor in engineering sciences, experienced in the field of electrical engineering, I offer support courses in the subjects of engineering sciences (Electronics, automatics, electrical engineering, automation, programming).

Digital electronics
Analog electronic
electromagnetism (propagation of high frequency waves)
Automatic (continuous, sampled)
electrical engineering (transformers, electrical machines, switching power supply)
C / c ++ programming, Assembler, ARM, STM32
renewable energy (wind, PV)
engineering Sciences
RDM
Python,VHDL
PIC Microprocessor and Microcontroller
Signal processing and data acquisition
Engineering Sciences

These courses allow the student to get up to speed and regain confidence in all scientific subjects, just as they prepare him effectively for the Baccalaureate, the Preparatory Classes or various examinations of the engineering classes.

COURSE OBJECTIVES AND PEDAGOGICAL APPROACH

Resumption and deepening of fundamental concepts through exercises with course reminders.

Put the student in a situation of questioning and research.

Respond to individual issues and questions

Exercise training in order to achieve real mastery of the content.

Learn to build theoretical reasoning from observable facts or hypotheses.

Specific preparation for higher education requirements (in-depth content, increase in work capacity, enrichment of scientific background)

This educational approach is effective since it has often led me to interesting results with my students.

Associate professor provides support courses in electrical engineering

Matías

5.0

(3)

Python is one of the best, if not the best, language to start learning programming. It is also one of the most widely used languages today, especially in cutting-edge areas such as machine learning.

This popularity means that Python is constantly evolving. It offers a wide range of tools and libraries, which are free and very varied.

As an aeronautical engineer, I like to share my knowledge and derive satisfaction from it by teaching and motivating others.

I'm used to working with people of different ages. I believe in the importance of segmenting learning, visualizing progress, setting concrete goals and practicing regularly.

Beyond these general principles, there is no magic rule or method. Some approaches work with some students but not with others. Adaptation to individual needs is therefore the main objective of private lessons. So I will do my best to find what motivates and helps my student.

Baia

5.0

(3)

Are you ready to create interactive, visually appealing websites that stand out in today’s competitive market? In this course, you’ll master the essential front-end development skills:

✅ HTML, CSS, and JavaScript – Build responsive and modern web pages
✅ React & Vue.js – Learn cutting-edge frameworks for dynamic UIs
✅ Real-World Projects – Work on hands-on projects to strengthen your skills
✅ Problem-Solving & Creativity – Develop intuitive, user-friendly interfaces

🔹 Who is this course for?

- Beginners who want to break into web development
- Developers struggling with front-end concepts
- Anyone looking to level up their skills and build real projects

🚀 Stuck on a project? Want to learn high-income tech skills?
This course will help you gain confidence, land opportunities, and grow in the tech industry.

📩 Contact me for more details and start your front-end journey today!

Youssef

5.0

(3)

doctoral student in engineering sciences provides support courses in analog and digital electronics at any DEUG level and engineering schools. having scientific and technical knowledge, three years of experience in the field of teaching, pedagogy and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they are having difficulty. for more info please contact me

Salah

5.0

(3)

Master Python with Personalized Courses

Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

Ongoing Support: Get unlimited email support for any questions you have between sessions.

As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

Book Your First Lesson:

Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

Francisco

5.0

(3)

Hi!

Welcome to my class on Matlab programming! As a PhD student in Geophysics my main tool is my computer. In order to do science one needs to know how to program. I often use Matlab in order to analyze data, run numerical models, plot results and much more. So, let's embark on the journey of learning Matlab and explore its diverse capabilities together!

For beginners:
I have designed it for absolute beginners to become at ease with the language within 5 sessions of 1h. Message me to know the 5 classes curriculum and I will be more than happy to share it with you!

For intermediate users:
If you already know the basics of Matlab but want to go more in-depth on certain packages this is the right place! Message me and we can discuss what your needs are!

Sandrine

5.0

(3)

Do you want to create your own website, understand how the code works, or master WordPress to become self-sufficient? I offer personalized online courses to help you learn step by step, with clarity and pedagogy.

👩‍🏫 What I propose:

* Introduction and improvement in HTML & CSS
* Using the Terminal (basic commands, Git, working environment)
* Creation of sites with WordPress (installation, themes, extensions, pages, basic SEO)
* Support for your personal or professional projects
* Advice on best practices and organization of your code

🎯 For whom?

* Complete beginners
* Freelancers, coaches, content creators
* Students or people in digital retraining
* Anyone curious to learn how to create a website

💡 Method: Interactive video lessons (Zoom/Meet), screen sharing, practical exercises, and flashcards. You progress at your own pace, with real support and simple explanations.

⏰ Flexible hours – 1 hour, 1.5 hour or 2 hour sessions
💶 Available packages
🌍 100% Online Courses – Wherever You Are!

See you soon.
Sandrine.

Kevin

5.0

(3)

For many years, I have successfully supported Swiss students in the fields of statistics, data analytics, machine learning, and artificial intelligence. I have gained extensive experience using R as a statistical programming tool and know exactly what students in Switzerland are required to do. I have numerous sample projects, datasets, and exam questions at my disposal and have prepared many students for their assignments and exams in a targeted, sustainable, and highly successful manner. My focus is on explaining complex statistical procedures, algorithms, and data analyses in an understandable way, demonstrating them in a practical way, and building confidence in the secure handling of data. My goal is not only to improve grades, but also, in the long term, to develop a deep understanding of data-driven questions and modern technologies such as machine learning and AI, which are crucial in later professional life.

► How do I teach?

►I attach great importance to ensuring that my students truly understand statistical concepts, data analytics methods, machine learning, and AI models, rather than just applying them mechanically – this is how we achieve sustainable success in statistics, data analytics, and modern technologies.

►My success is based on my ability to flexibly adapt my teaching style to the individual needs of students in statistics, data analytics, machine learning and AI, including topics such as regression methods, logistic regression and other machine learning algorithms.

►I use practical, lively examples from statistics, data science and AI to clearly explain abstract concepts such as hypothesis testing, analysis of variance, linear and nonlinear models and to anchor them deeply in the memory.

►With patience and clarity, I break down complex statistical analyses, machine learning models, and data processes into their essential components so that no student is overwhelmed and can build a solid foundation in statistics, data analytics, and AI.

►I am convinced that trusting collaboration is crucial to reducing uncertainty in statistics or data science and creating a productive learning atmosphere.

►I offer intensive exam preparation and project support in statistics, data analytics, machine learning and AI, develop strategies to combat exam anxiety with my students and train them on real data sets and complex algorithms.

►As an experienced online tutor for statistics, data analytics, machine learning, and AI, I use modern tools such as interactive whiteboards and live coding sessions in R to make teaching as efficient and practice-oriented as possible.

►Locations: I teach statistics, data analytics, machine learning, and AI at your home, online, or by appointment – flexible, professional, and tailored precisely to your needs.

Yomna

5.0

(3)

This course is designed to introduce students aged 7 to 16 to the world of programming through two of the most widely used and industry-relevant languages: C++ and Python.

The class provides a structured, age-appropriate pathway into programming, whether the student is a complete beginner or already exploring coding through platforms like Scratch or Code.org. Emphasis is placed on understanding logic, building problem-solving skills, and writing real code in a supportive, project-based environment.

Taught by an engineering student with hands-on experience in both C++ and Python, this course empowers students to explore the power of code and build a strong foundation in computational thinking — essential for future studies in engineering, robotics, AI, or game development.

Meriem

5.0

(3)

Python is today one of the most widely used programming languages in the world, both in Data Science, Artificial Intelligence, Web Development and for task automation.
In this course, I will guide you step by step according to your level:

Beginner: basics of the language (variables, loops, conditions, functions).

Intermediate: data manipulation (Pandas, NumPy), file management, object-oriented programming.

Advanced: practical projects (data analysis, machine learning, automation, API, web scraping).

My goal is to make learning clear, practical, and motivating. You'll not only learn how to code in Python, but also how to structure your projects and apply your knowledge to real-life scenarios.

5.0

(3)

After an initial assessment, this course is designed to transform your child from a passive consumer of technology into an active, ethical AI creator.

Based on the personalized roadmap developed in the first session, the 5-week program delivers structured, project-based learning tailored to your child's cognitive strengths and interests, specifically addressing any learning barriers identified during the diagnostic phase.

What we achieve in 5 weeks:

Week 1-2: Foundations of Machine Learning & Critical Thinking: We move beyond definitions, using interactive projects to understand how AI learns (data, bias, pattern recognition). This builds critical thinking about the technology they use daily.

Week 3-4: Ethical Generative AI for Creativity: Students learn to master prompt engineering to create digital art, stories, or game concepts using generative AI tools. Safety and Ethics are paramount: we focus on responsible usage, digital citizenship, and copyright basics.

Week 5: The Final AI Creator Project: personalized mini-project (e.g., training a simple image classifier or writing a fully co-authored AI story) to demonstrate autonomy and mastery of the core concepts.

As your specialized 10+ year tech educator and coach, I ensure:

SEN Integration: Continuous adaptation of project requirements and delivery methods to ensure students with Special Educational Needs (SEN) maintain confidence and measurable progress.

Skill Transfer: We teach skills that translate directly to school projects, not just AI theory, but advanced digital literacy and structured problem-solving.

Taiwo

5.0

(3)

This online programming class is designed for students who want to build real technical skills in computer science and web development — not just learn theory, but actually create and understand how systems work.

I teach:

• Python programming (fundamentals, logic building, problem-solving, data handling)
• JavaScript (core concepts, DOM manipulation, interactivity)
• CSS (styling, layout systems, responsive design)
• Website Development (front-end foundations and structure)
• WordPress Development (customization, site building, content management)
• UI/UX Fundamentals (design thinking, layout clarity, user experience principles)

Students learn how to think computationally, break down problems logically, and build structured solutions. Lessons are practical and project-based, meaning students don’t just watch — they build.

For beginners, we focus on strong foundations: understanding how code works, writing clean syntax, and developing confidence in debugging.
For intermediate learners, we move into structured projects such as creating simple websites, improving layout design, adding interactivity, and understanding how front-end components connect.

My approach emphasizes clarity, structure, and application. I help students understand not only what to type, but why it works — which is the difference between copying code and truly understanding it.

This class is suitable for:
• School students exploring computer science
• Beginners transitioning into tech
• Learners preparing for academic computer science courses
• Individuals interested in web development skills

All sessions are fully online, interactive, and tailored to the student’s pace and goals.

Farouk

5.0

(3)

These courses are part of a structured and progressive training in Object-Oriented Programming (OOP) with JavaScript, designed for beginner or intermediate developers who want to understand in depth how the language works, write clearer, more maintainable code and prepare themselves calmly for modern frameworks like React ⚛️.

Object-Oriented Programming is often perceived as complex or abstract.

My goal is simple: to make it logical, concrete, and immediately applicable.

🎯 Training Objectives

Upon completion of this training, you will be able to:

Understanding what Object-Oriented Programming really is (and when to use it)
Create and manipulate objects in JavaScript in a clean and efficient way
Use ES6 classes, constructors, and methods with confidence
Mastering this, the prototype, and the instantiation logic
Apply encapsulation, inheritance, and polymorphism without confusion
Avoiding common mistakes made by OOP beginners
Structure your JavaScript code like a professional developer

📖 Training Plan – Object-Oriented Programming in JavaScript
1. Introduction to Object-Oriented Programming 🧠
Understanding the concept, objectives and benefits of OOP.
2. Procedural Programming vs. OOP
Why unstructured code quickly becomes unmanageable.
3. Objects in JavaScript
Properties, methods and representation of the real world.
4. The keyword this
Understanding the execution context (often poorly understood).
5. Limitations of simple objects
Why duplicating code is a bad idea.
6. Constructive functions
Create multiple objects from the same model.
7. The keyword new
What it's actually doing under the hood.
8. The prototype
Sharing methods and memory optimization.
9. ES6 Classes
Modern syntax and best practices.
10. The builder
Proper initialization of objects.
11. Data Encapsulation
Protect the internal state of objects.
12. Inheritance between classes
Reusing code intelligently.
13. The keyword super
Communication between parent and child in the classroom.
14. Polymorphism
The same behavior, several forms.
15. Composition vs. Inheritance
Choosing the right architecture.
16. Best practices in OOP
Write readable, scalable, and maintainable code.
17. Common mistakes made by beginners
Pitfalls to absolutely avoid.
18. Guided practical exercise
Creation of a concrete class (product, user, etc.).
19. Assessment Quiz (Multiple Choice Questions)
To validate the actual understanding of the concepts.

🛠️ Teaching method: Understand before writing

This training program is based on a progressive and pragmatic approach:
Clear and illustrated explanations
Concrete examples from real projects
Simple but effective exercises
Constant questioning to avoid rote learning
Adaptation to the learner's level and pace
Here, we don't "recite OOP" — we understand it.

🚀 Learner's result

At the end of the training, you will not only know how to write a JavaScript class.
You will know:

1- Why does it exist?
2- When to use it
3- and when not to use it

You will leave with:
a solid understanding of OOP
a cleaner and more professional code
an ideal foundation for learning React, Node.js or any other modern framework

Dani

5.0

(3)

This advanced course builds on programming fundamentals using Python (programming language) and is designed for students who want to deepen their programming knowledge.

The course continues from functions and introduces advanced programming concepts including object-oriented programming principles such as polymorphism, inheritance, abstraction, and encapsulation.

Students will also learn data handling techniques, working with Python libraries, and developing structured programs using complex loops and data collections.

The course covers practical implementation of nested loops, nested lists, tuples, and dictionaries, as well as an introduction to data structures and algorithmic thinking.

Additional topics include graphical user interface development using libraries such as Tkinter, along with introductory concepts in data science and machine learning using Python.

Teaching combines theoretical explanation with real coding exercises to help students develop strong practical programming skills.

• Review of programming fundamentals and functions
• Object-Oriented Programming (OOP) concepts
• Polymorphism, inheritance, abstraction, and encapsulation
• Data structures basics
• Nested loops and complex data handling
• Lists, tuples, and dictionaries
• Introduction to algorithms
• Working with Python libraries
• GUI development using Tkinter
• Introduction to data science and machine learning concepts