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Jhosimar - PeruC$44
C$44Private or group classes of Machine Learning and Deep Learning
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
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Mourad - CanadaC$39
C$39Machine 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
Professeur - Douala, CameroonC$16
C$16Programming courses for beginners: Introducing young people to the fundamentals of programming
Trusted teacher: Course description: Title: Programming course for beginners Duration: 8 weeks (16 sessions of 2 hours each) Description: This programming course for beginners is designed for average students who want to learn the solid foundation of programming. Whether you are interested in Python, JavaScript, HTML, CSS or PHP, this course will provide you with the essential knowledge to create your own programs and applications. Through clear explanations, real-world examples and practical exercises, you will develop your understanding of key programming concepts and be able to apply this knowledge in real-world projects. Lesson Plan : Week 1-2: Introduction to programming and fundamental concepts - Presentation of programming languages (Python, JavaScript, HTML, CSS, PHP) - Understand variables, data types and basic operations - Introduction to control structures (loops, conditions) - The functions and organization of the code Week 3-4: Object Oriented Programming - Understand the basic concepts of object-oriented programming - Creation of classes and objects - Using attributes and methods Week 5-6: Web development - Introduction to HTML and CSS - Creation of static web pages - Using JavaScript to interact with page elements Week 7-8: Applications and projects - Using Python, JavaScript, HTML, CSS or PHP to create simple programs and applications - Creation of a final project to put into practice all the skills acquired Each session will include a theoretical part followed by practical exercises to consolidate the concepts covered. You will also be encouraged to ask questions and work on personal projects to reinforce your learning. Join this exciting course and develop your programming skills, you'll be ready to create your own programs and applications in no time!
Computer programming · Information systems · Python
Kaarlo Caballero - PortugalC$37
C$37Learn Python from Scratch without Fear 🚀 Data Science and AI Included
Trusted teacher: I am a Data Science student at university, currently in my third year, and I have been accepted into a prestigious exchange program at the Universidade de Coimbra, one of the oldest and most renowned universities in Europe. This experience has allowed me to broaden my horizons and strengthen my training in an international environment, enriching my approach to technology. I have obtained honors in the subject Programming Fundamentals 2, which is a reflection of my dedication and programming skills. In addition, I have worked on a number of real-life projects covering various areas of Data Science and Artificial Intelligence, such as: Body detection using computer vision Sentiment analysis with real tweets Statistical study of the Airbnb real estate market in New York City Development of an IoT application to monitor sensors in a Data Center Bayesian network modeling for strategic decision making in companies Training an AI model for real-time face and gender detection using a laptop camera Fully Automated Propositional Logic Calculator And best of all, all these projects have been developed entirely in Python, the most in-demand language in the sector. My classes are designed for beginners and intermediate level, where I will guide you step by step to understand the fundamental concepts of programming, the logic behind programming, and how to apply AI to real projects. If you are looking for private lessons in Python, Data Science, or Artificial Intelligence, you are in the right place! Ready to start developing one of the most in-demand skills in today's market? Let's get started!
Computer programming · Python
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Our students from Al Jahra evaluate their Python teacher.

To ensure the quality of our Python teachers, we ask our students from Al Jahra to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 11 reviews.

Python 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
Learn Python - from the basics to real world business cases (Amsterdam)
Joris
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
Python Basics and Machine Learning Fundamentals and AI
Natalia
natalia was a great tutor! i really enjoyed her lessons and the prep she did for each session, would highly recommend
Review by TAMI

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