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Python lessons in Avon Park

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1 python teacher in Avon Park

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1 python teacher in Avon Park

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
Trusted teacher: Programming in Python (primary to university education) taught by master HIR at the KUL. Programming experience as a Civil Computer Science Engineer. HIR, TEW and Bio-IRs have already been successfully assisted. ABOUT THIS LESSON: I offer tutoring in Python programming and mathematics for university and college students. I also support secondary school and primary school students in all scientific subjects. My focus is on the student being able to find the solution independently, step by step, and I help where necessary by providing mini-tips to help them reach the next step. This makes my method much more personalized than standard classroom teaching. For me, all learning starts with understanding each step and I have several methods/tools to present and clarify this. If it is difficult to understand, I explain it in a different way, in my own words, so that the material is certainly understood, as this is the first step towards fully mastering the material in the subjects I teach. This is followed by learning to devise and write code yourself, but if this is too difficult to write a complete solution in an empty program, I have a diagram/step-by-step plan and extra tips and tricks to work towards the final solution in a much more structured way. If you have taken lessons with me or are still taking them, you can always send me questions via chat between lessons and I will quickly help you as best as possible so that you can continue practicing on yourself. I just do this during one of my own study breaks and I enjoy doing it. ABOUT NICK: I am a 22-year-old master's student in Commercial Engineering at KU Leuven. I started tutoring my sister, nephews, nieces and friends and I get a lot of satisfaction from improving and helping others when they come to me for help. Because I have been tutoring consistently for several years, I have the right resources to present learning material in an understandable way and to strengthen the motivation, concentration and independent study of my students. I also studied civil engineering for 2 years and passed the Python programming subject in that course with flying colors. I stopped doing this because the rest of the course did not interest me enough. In commercial engineering I also had part of a Python course that was much easier and for which I therefore achieved a great distinction. I have already successfully helped quite a few Commercial Engineers, TEWs and Bio-Engineers, but other courses have also been positive about my help. Other directions can certainly contact me as well. High school students are of course also in the right place with me. I don't give up until I'm sure a student understands the material well enough and I see them making progress. By always appearing enthusiastic, I ensure that together we do not let the drudgery of difficult subjects get any further than the school desks. I am flexible in making appointments and am open to every student. I provide tutoring at your home (I can travel by car), at my home (Kampenhout), in my student room (Leuven) or online. If you are interested, do not hesitate to contact me so that we can discuss the practical matters in more depth immediately. Together we can draw up a plan and work lesson by lesson to achieve your personal academic goals or those of your child.
Computer programming · Python · Information technology
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
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Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.7 out of 5 based on 7 reviews.

Python, SQL and/or Machine/Deep Learning Classes at your place or Online! (Lucerne)
Benito
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
Computer science and coding development: WEB Desktop Mobile. (Fribourg)
Zara
Zohra is a very nice and helpful person with huge knowledge in her expertise. I would highly recommend her for Python classes.
Review by ADRIENNE
Web development, Programming, Mathematics, software design. (Woluwe-Saint-Pierre - Sint-Pieters-Woluwe)
Sanyam
Sanyam, is very good at teaching. He explain in different ways so that I can understand it.
Review by STEPHANIE