Learn to build advanced AI models with TensorFlow

Python is one of the best, if not the best, language to start learning programming. It is also one of the most widely used languages today, especially in cutting-edge areas such as machine learning. This popularity means that Python is constantly evolving. It offers a wide range of tools and libraries, which are free and very varied. As an aeronautical engineer, I like to share my knowledge and derive satisfaction from it by teaching and motivating others. I'm used to working with people of different ages. I believe in the importance of segmenting learning, visualizing progress, setting concrete goals and practicing regularly. Beyond these general principles, there is no magic rule or method. Some approaches work with some students but not with others. Adaptation to individual needs is therefore the main objective of private lessons. So I will do my best to find what motivates and helps my student.

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I am a graduate in data science with R programming skills. I am able to help the students with assignments, and analysis with their master thesis. My approach is very student-oriented and I explain the subjects in a detailed way so that the students understand the main idea.

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What You Will Learn: Core Principles: Introduction to programming, algorithms, and data structures to build a strong foundation. Advanced Libraries and Frameworks: NumPy, Pandas, and Django to create web applications and perform efficient data analysis. Practical Projects: Real-world applications to strengthen your skills and build an impressive portfolio. How You Will Benefit: Students: Gain the necessary skills to excel in academic projects and lay the groundwork for your career. Self-Taught Learners: Avoid common mistakes and fast-track your progress with clear, hands-on guidance. Professionals: Enhance your skill set to meet industry demands and open up new career opportunities. Why Choose My Courses?: Personalized Approach: Each course is customized to your level and learning pace, ensuring tailored guidance and support. Theory and Practice: You’ll combine theoretical concepts with hands-on exercises for a comprehensive and lasting understanding. Solving Real-World Problems: Learn how to tackle the common challenges faced in programming, from debugging to performance optimization.

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..................................... (satisfied or refunded)........ ....... Electrical engineering expert PhD student in electrical engineering and renewable energies engineer in electrical engineering and industrial computing I offer home schooling courses to deal with the difficulties encountered by students during their schooling, These courses allow the student to get back to level and regain confidence in all scientific subjects, as well as effectively preparing him for the Baccalaureate, Preparatory Classes or various exams. ===Automatic (Servo-control and automatism regulation (discrete, continuous)======== ===Electrical engineering (electrical machines) and power electronics (inverter rectifier)======= ===Continuous and sampled signal processing================= ===VHDL programming, microcontroller and microprocessor (intel, ARM)============ ===High frequency electronics (transistor, diode, AOP, noise)============ ===Propagation of electromagnetic waves and antennas======== ===Analog and digital electronics (filters, flip-flops, sysml,Grafcet,amplifier)===== === Realization of electrical projects ===MATLAB ARDUINO Proteus ISIS === Renewable energies COURSE OBJECTIVES AND PEDAGOGICAL APPROACH Resumption and deepening of fundamental concepts through exercises with course reminders. Put the student in a situation of questioning and research. Respond to individual issues and questions Exercise training in order to achieve real mastery of the content. Learn to build theoretical reasoning from observable facts or hypotheses. Specific preparation for higher education requirements (in-depth content, increase in work capacity, enrichment of scientific background) This pedagogical approach is effective since it has often led me to interesting results with my students.

Neural Network is a powerful machine learning tool used for classification & prediction. It works as function approximation from experienced data of inputs and outputs entered to the training process to create the model. The concept of neural network can be thought theoretically by mathematics, but the course will include also a practical coding using Matlab Software.

This Python course teaches you the basics of programming in Python, including variables, data types, operators, control structures (if, for, while), functions, and lists. You will also learn how to manipulate data with libraries such as Pandas and NumPy, create graphs and visualizations with Matplotlib and Seaborn, and even develop simple web applications with Flask or Django.

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Master pseudo-code algorithms in this hands-on course with dozens of different algorithms In this course, you will learn the basics of computer programming through the fundamental subject taught in all higher schools of computer science: algorithms. This is the initial stage of your learning to become a computer scientist (programming) First we will see a broad introduction to computer programming, and we will explain what algorithms are. Then, you will learn the language of computer scientists by studying "pseudo-code", and you will learn all the concepts of computer science through a multitude of practical exercises. The topics covered are very broad and comprehensive: Introduction - Algorithm Syntax - data type and Variables - The operators - The instructions - Conditions - The repetitive structure (loops) - The tables - Research techniques - Sorting algorithms - dichotomous search - Functions - The procedures - Recursion -complexity - Introduction to the C language - ... Your first programs... Finally, you will start programming by creating several algorithms in a specific programming language (here, C language). These algorithms are applicable in all programming languages. The goal... With more than 8 hours of e-courses, quizzes, and an assessment, you will have what you need to continue your learning of computer programming and advance towards your future profession. Who is this course for? Beginner in programming Retraining Computer science students or future students Thanks and see you soon ! IMAD