facebook

Discover the Best Private Python Classes in Kowloon

For over a decade, our private Python tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons at home or in Kowloon, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

search-teacher-icon

Find Your Perfect Teacher

Explore our selection of Python tutors & teachers in Kowloon and use the filters to find the class that best fits your needs.

chat-icon

Contact Teachers for Free

Share your goals and preferences with teachers and choose the Python class that suits you best.

calendar-icon

Book Your First Lesson

Arrange the time and place for your first class together. Once your teacher confirms the appointment, you can be confident you are ready to start!

1 python teacher in Kowloon

0 teachers in my wish list
|
+

1 python teacher in Kowloon

Trusted teacher: Master in Computer Science from the State University of Campinas (Brazil) and university professor in Peru. He has participated in the most important Artificial Intelligence conferences including ACL, NeurIPS, ICML, ICLR, KDD, ICCV and CVPR, summer schools such as Machine Learning (MLSS), Deep Learning (DLRL) and Probabilistic ML (ProbAI). He has also participated in various programming contests and has experience preparing interviews for applications to companies such as Google, Meta, Microsoft, among others. He has extensive experience in the areas of Machine Learning and Deep Learning applied mainly to computer vision and natural language processing. He has experience in teaching, providing illustrative explanations for a better understanding of both the theoretical and practical parts. Some examples of presentations given: He has also advised students from different countries in their graduation and master's theses, providing them with a theoretical and practical base with examples that they can then use to continue their development. Some of the things I can help you with: - Machine Learning: Linear regression, logistic regression, regularization, LDA, QDA, SVMs, decision trees, random forest, boosting, PCA, clustering (K-means, DBSCAN, hierarchical, GMM), neural networks, model selection, metrics evaluation, MLE, Bayesian learning, data preprocessing, etc. - Deep Learning: Multilayer Perceptron (MLP), backpropagation, activation functions, multiclass classification, optimizers (SGD, Adam, RMSProp, etc.), CNNs, architectures (ResNet, DenseNet, EfficientNet, Siamese, etc.), RNNs, LSTMs, Seq2seq, Attention, Transformers (BERT, GPT, ViT, etc.), autoencoders, generative models (VAE, GAN, Diffusion, etc.), etc. - Languages: Python, C++ - Libraries and frameworks: PyTorch, Tensorflow, Keras, Huggingface, numpy, pandas, scikit-learn, sympy, etc.
Computer programming · Python
Trusted teacher: 🌱 EVERY JOURNEY STARTS WITH ONE STEP LET'S START YOUR JOURNEY TO BECOMING TECH PROFESSIONAL 🎯 Welcome to the exciting world of PYTHON🐍😁! An exciting and comprehensive course designed to introduce students to the fascinating world of Python programming. As a private home tutor, I have created this course to equip students with the essential skills and knowledge needed to thrive in the digital age. Through engaging lessons and hands-on projects, students will embark on a coding adventure, unleashing their creativity and building a solid foundation in Python programming. By learning with me, you will gain a competitive edge in the rapidly evolving technological landscape. Python is a versatile and widely-used programming language with applications in various fields, including web development, data analysis, artificial intelligence, and more. Mastering Python opens doors to exciting career opportunities and lays a strong foundation for future studies in computer science and related disciplines. This course will empower you to think critically, solve problems systematically, and harness the power of coding to shape the world around them. In my classes, I adopt an immersive and hands-on approach to make learning Python programming enjoyable and effective. The course is thoughtfully structured, starting with the basics and gradually progressing to more advanced concepts. Through a series of interactive lectures, practical exercises, coding challenges, and creative projects, students will gain a deep understanding of Python syntax, data structures, algorithms, and programming techniques. To foster a collaborative learning environment, I encourage students to actively participate, share ideas, and collaborate on coding projects. Real-world examples and case studies will be incorporated to demonstrate the practical applications of Python programming. Additionally, I will introduce students to industry-standard tools and best practices, preparing them to write clean, efficient, and professional code. Throughout the course, I will provide individualized attention and support to address each student's unique learning needs. By offering personalized feedback and guidance, I will ensure that students build a solid programming foundation and develop their problem-solving and logical thinking skills. 🎁 My commitment to student success extends beyond the classroom. I believe in fostering a lifelong passion for coding and providing ongoing support to my students. Even after the course concludes, I will continue to offer guidance, resources, and assistance to help students further enhance their Python programming skills. Whether they aspire to pursue advanced projects, participate in coding competitions, or explore specific areas of interest, I will be there to provide professional guidance and mentorship. So Join me today, let's embark on a thrilling coding journey. Together, let's unlock the potential of Python programming and empower your child to become a confident and skilled programmer, ready to navigate the digital landscape of the future.
Python · Computer science · Computer programming
Python · Computer programming
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
Showing results 51 - 75 of 43651 - 75 of 436

Our students from Kowloon evaluate their Python teacher.

To ensure the quality of our Python teachers, we ask our students from Kowloon to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.8 out of 5 based on 18 reviews.

Learn Python at all levels! One-on-one tutoring with an expert. (Saint-Gilles)
Jean
rating star
rating green star
First of all, Jean was amazing! He responded very quickly and answered every question I had! He is extremely knowledgeable and his help was just what I needed! He is very friendly and he adjusts the pace to his students. I am very glad I contacted him and I strongly recommend him for anyone who wants to learn programming languages or has trouble doing so! I will definitely study with him again!
Review by SEBASTIAN
Learn Python - from the basics to real world business cases (Amsterdam)
Joris
rating star
rating green star
Joris is super friendly and was really flexible in tailoring the classes based on what my purpose for learning is. He is giving me the direction I need to continue this learning journey, and I would certainly recommend him to anyone interested in learning python to the next level.
Review by SEBASTIAN
Analyzing data and statistics with Python, R, and SPSS (Amsterdam)
Mehdi
rating star
rating green star
Very professional, on time, knows what he is doing and knows the material. Very polite as well. I will keep taking his lessons.
Review by MAXIMOS
map iconMap