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Discover the Best Private Python Classes in Rabat

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18 python teachers in Rabat

Tariq

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C$20

60-min

/h

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Python Data Science and Machine Learning for teacher-researchers, doctoral students and master's studentsTranslate this text using Google Translate.

Python Data Science and Machine Learning for teacher-researchers, doctoral students and master's studentsTranslate this text using Google Translate.

I offer a training course on the theme "Python Data Science and Machine Learning" intended for teacher-researchers, doctoral students and master's students. The participant will learn at their own pace and will benefit from the expertise and teaching skills of a teacher with a doctorate in computer science. Data science and machine learning skills are applicable in various research fields, including neuroscience, biology, sociology, anthropology, linguistics, etc. The objective of the training is to enable the participant to acquire skills in statistical analysis, research data management and data visualization. Participants will have the opportunity to acquire essential skills in data science and machine learning to analyze large datasets, identify trends, and better understand their research topic. The course guides the participant through the basic elements of the Python programming language and the main Python libraries dedicated to data analysis and visualization, including NumPy, Matplotlib, Pandas, as well as the Scikit-learn library dedicated to machine learning and the TensorFlow platform for deep learning. The course is divided into 16 sessions, each session lasting 2 hours. At the end of the course, the participant will master the fundamental concepts of Python Data Science and Machine Learning.

Rachid

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4.0

3 reviews

(3)

C$56

60-min

/h

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Machine Learning and Data Mining Services for your business to know the exact decisionsTranslate this text using Google Translate.

Machine Learning and Data Mining Services for your business to know the exact decisionsTranslate this text using Google Translate.

I am a Data Scientist / Statistical Engineer who specializes in machine learning and data mining services. I have a great experience in the analysis of données and the mise in place of predictive models for the enterprises at the beginning of the decisions. He proposed designing machine learning and data mining services for companies to help on an additional level of public life. Message domains included: Aggression styles: linéaire, logistique, multinomiale, poisson, etc. Classification patterns: arbres de decision, forêts aléatoires, SVM, etc. Clustering: k-means, DBSCAN, etc. Réseaux de neurons: Réseaux de neurones artificiels, Réseaux de neurones convolutifs, Réseaux de neurones récurrents, etc. Traitement du langage naturel: sentiment analysis, text classification, etc. Chronology analyzes of events: ARIMA, SARIMA, etc. I want you to help prepare your données, install models, improve performance and the developer. I use these tools to use Python, R, TensorFlow, Keras, PyTorch, scikit-learn, etc. Don't hesitate to contact me if you have something to do for your machine learning and data extraction projects. I am available for individual descriptions, formations or major projects.

Younes

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5.0

1 reviews

(1)

C$56

60-min

/h

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Course on: Digital and computer sciences -NSI-Translate this text using Google Translate.

Course on: Digital and computer sciences -NSI-Translate this text using Google Translate.

In digital and computer science (NSI), the program aims to appropriate the methods and main concepts that underlie computer science (algorithms, digital data, HMI interfaces, languages, connected objects, networks and operating systems), in its scientific and technical dimensions. It is a question of appropriating the foundations of computer science to prepare for a continuation of studies in higher education, by training in the practice of a scientific approach and by developing one's appetite for research activities. . The teaching of digital and computer science (NSI) is based on a necessary mastery of prior digital skills and in particular deepens the practice of programming through activities related to the main parts of the program: Data Representation: Basic Types and Values Data Representation: Constructed Types Data processing in tables Interactions between man and machine on the web Hardware architectures and operating systems Languages and programming Algorithmic This involves developing the following skills: analyze and model a problem in terms of information flow and processing; break down a problem into sub-problems, recognize situations already analyzed and reuse solutions; design algorithmic solutions; translate an algorithm into a programming language, specify interfaces and interactions, understand and reuse existing source codes, develop program development and validation processes; mobilize useful concepts and technologies to ensure the functions of acquiring, memorizing, processing and disseminating information; develop abstraction and generalization skills. Transversal skills are also worked on: demonstrate autonomy, initiative and creativity; present a problem or its solution, develop an argument within the framework of a debate; cooperate within a team within the framework of a project; search for information, share resources; make responsible and critical use of IT. This teaching contributes in particular to the acquisition of digital skills. It is also a question of developing oral skills, in particular through the practice of argumentation.

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Ammar

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Recently active
C$48

60-min

/h

Master AI, Machine Learning & Python Programming | Algorithms, Automation & Real ApplicationsTranslate this text using Google Translate.

Master AI, Machine Learning & Python Programming | Algorithms, Automation & Real ApplicationsTranslate this text using Google Translate.

Artificial Intelligence and programming become much easier when you understand the reasoning behind the algorithms—not simply memorize Python syntax or use AI tools as a black box. I am a PhD-qualified engineer, university professor, researcher, programmer, and multidisciplinary tutor with more than 30 years of experience across teaching, technical training, engineering, information systems, quantitative analysis, research, data mining, programming, and intelligent knowledge-based systems. This class provides a structured and personalized pathway for beginners, school and university students, researchers, engineers, professionals, career changers, and adult learners. Depending on your goals, we can focus on Python programming, computational problem solving, automation, machine learning, artificial intelligence, or a coherent progression connecting them. PYTHON PROGRAMMING & COMPUTATIONAL THINKING • Python installation and development environments • Variables, data types, operators, and expressions • Input, output, and program flow • Conditional statements and decision making • For loops and while loops • Functions, parameters, return values, and scope • Strings and text processing • Lists, tuples, sets, and dictionaries • File handling and data input/output • Error handling and exceptions • Modules, packages, and reusable code • Object-oriented programming • Algorithms and computational problem solving • Debugging and systematic error correction • Code organization, readability, and good programming practices SCIENTIFIC COMPUTING, DATA & AUTOMATION • NumPy for numerical computing • pandas for structured data manipulation • matplotlib for visualization • Scientific and engineering calculations • Automation of repetitive tasks • Data processing workflows • Working with files and external data • Introduction to APIs when relevant • Python and SQL workflows • Research and quantitative applications • Project development from idea to working solution MACHINE LEARNING • Foundations of machine learning • Supervised and unsupervised learning • Regression and classification • Clustering and pattern discovery • Decision trees and rule-based approaches • Feature selection and data preparation • Training, validation, and testing • Model evaluation and performance metrics • Overfitting and underfitting • Bias, variance, and generalization • Model comparison and interpretation • Predictive modelling and data mining • Neural-network foundations ARTIFICIAL INTELLIGENCE & INTELLIGENT SYSTEMS • Foundations and major branches of Artificial Intelligence • How intelligent systems represent, classify, predict, and support decisions • Knowledge representation concepts • Ontologies and structured knowledge • Rule-based reasoning and expert-system foundations • Intelligent decision-support systems • Generative AI and large language model concepts • Prompt design and effective AI-assisted workflows • AI limitations and hallucinations • Bias, privacy, ethics, and responsible AI • Applications in engineering, research, business, education, and professional decision making Depending on your goals, practical work may involve Python, NumPy, pandas, matplotlib, relevant machine-learning libraries, Weka, SPSS Modeler, structured datasets, or modern generative-AI tools. My teaching approach follows a clear progression: understand the problem → design the logic → represent and prepare the data → write or select the method → test it → evaluate the output → debug or improve it → interpret the result → apply it responsibly I do not simply provide finished code, demonstrate isolated commands, or recommend an AI model because it is popular. I help you understand why a method works, what assumptions it makes, when it should be used, how to evaluate its results, where it may fail, and how to improve the solution. We can work with your course syllabus, programming exercises, existing code, error messages, dataset, research problem, AI project, automation task, engineering application, model output, or professional use case. Whether you are writing your first Python program, preparing for a university course, debugging a project, automating a professional task, learning machine learning, or exploring advanced AI applications, I will adapt the sessions to your level, objectives, and pace. My goal is to help you become an independent computational problem solver who can understand, build, evaluate, and apply intelligent solutions—not merely copy code or use AI tools without understanding them.

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Our students from Rabat evaluate their Python teacher.

To ensure the quality of our Python teachers, we ask our students from Rabat to review them.

Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 136 reviews.

Baia was instrumental in helping my daughter prepare for the OMPT-F exam. From the very first lesson, she was organized, knowledgeable, and focused on the areas that mattered most for success on the test. What sets Baia apart is her ability to explain complex mathematical concepts in a simple, structured way while building confidence at the same time. Her engineering background gives her a deep understanding of mathematics and allows her to explain not only how to solve problems, but also why the concepts work. She provided targeted practice materials, mock exams, and clear guidance on the key topics that carried the highest impact. Baia was always responsive to questions between lessons and consistently went above and beyond to ensure my daughter was fully prepared. Thanks to her support, my daughter developed a much stronger understanding of mathematics and a more positive attitude toward the subject. She now approaches challenging problems with far more confidence than before. I highly recommend Baia to anyone preparing for the OMPT exams, university mathematics, or looking for a patient, knowledgeable, and highly effective math tutor.

I've been studying with Mohamed for several months now, and I can confidently say he is one of the smartest and most effective teachers I've ever worked with. He not only has a deep understanding of Python and Data Science, but he truly knows how to teach. Mohamed has a rare combination of strong technical expertise and outstanding teaching skills. He can explain complex topics in a simple and clear way, and he always chooses examples and exercises that really help you grasp the material. What I value most is his focus on practical application: we don’t get stuck in theory — we move straight to solving tasks that are relevant to real-world work. This makes each lesson extremely useful and efficient 👌🏼

So far, I've been getting help with my IGCSE 's in Math and Computer Science with Amin. In most of the lessons I've been with him, he's been really helpful and responsible. He has also been very patient. He helps me become more confident in my answers and makes the lessons pretty fun! After my lessons with him, I do understand my topics more and am able to go to my classes in school without feeling lost. If you're ever struggling with Physics or Programming, I'm sure he can help you too :)

To ensure the quality of our Python teachers, we ask our students from Rabat to review them.

Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 136 reviews.

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