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Masud - Brussels, Belgium£30
£30Data Analysis and Statistics using (Python or R ) Language
Trusted teacher: Welcome! I recently completed a Data Science and Artificial Intelligence coding school following the successful completion of my master's degree from the esteemed University of Ghent in Belgium. With over 2 years of experience as a private Python tutor, I am well-equipped to assist you. My mission is to help you with statistics and data analysis for your projects. My courses are designed to cater to a diverse range of students, including teenagers, those in higher education or pursuing doctoral studies in sciences, as well as anyone interested in understanding statistics. I offer a flexible teaching approach that can be tailored to your specific needs. To ensure an effective learning experience, I kindly request a brief description of your objectives for the course. This will enable me to customize the content and adapt my teaching methods accordingly. Based on your requirements, my courses can cover the following topics: - Fundamental principles of descriptive and inferential statistics. - Various inference tests, including commonly used ones such as Chi-square, T-test, ANOVA, and linear regression, as well as more advanced techniques like multi-level analyses, structural equations, and data organization tools such as factor analysis and cluster analysis. - Practical application using statistical software such as SPSS, R language, and Python. - Engaging in practical exercises using provided data or your own dataset. - Regardless of your current level of understanding, I will focus on the specific areas that meet your needs and interests. I am committed to providing clear and comprehensible explanations to ensure your effective comprehension of the concepts.
Statistics · Computer science
Mourad - Canada£21
£21Machine Learning with Python and PyTorch: Practical Hands-on Training
Trusted teacher: 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.
Python · Computer programming
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Our students from Matlock evaluate their Computers & Electronics teacher.

To ensure the quality of our Computers & Electronics teachers, we ask our students from Matlock to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 35 reviews.

Python and/or Machine/Deep Learning Classes at your place or Online! (Lucerne)
Benito
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I highly recommend Benito as a teacher for Machine Learning and Python! Benito is very patient and has exceptional teaching skills, which combined with his expertise in both theory and practical applications makes every lesson very enjoyable. He explains complex machine learning topics using real-life examples, ensuring that learning is comprehensive and intuitive. Top!
Review by HURIYE
Data Analysis and Statistics using (Python or R ) Language (Brussels)
Masud
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Masud is a well experienced tutor and very patient. He understands diverse differential learning needs and always finds proactive strategies to ensure that you learn. The statistics lessons with him was very effective, that even when I had to take my statistics exam it was easy for me to navigate. I do highly recommend him.
Review by NOEL
Programming in Python - A Complete Course for Becoming a Programmer
Olek
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Alex is really engaged and gives lots of practical tasks, which I find very useful. Also, he is tailoring his classes to my knowledge. I would recommend him to everyone who want to refresh or advance their coding skills!
Review by KATERINA

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