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Python for everybody (No prior experience required)
From 58.32 C$ /h
Take your Python programming skills to the next level with this course that builds upon the successful Python for Everybody program.
Discover fundamental programming concepts, including data structures, networked application program interfaces, and databases, and unleash your creativity as you design and develop your own cutting-edge applications for data retrieval, processing, and visualization in the final Project.
With the latest technologies and techniques at your fingertips, the possibilities are endless!
Discover fundamental programming concepts, including data structures, networked application program interfaces, and databases, and unleash your creativity as you design and develop your own cutting-edge applications for data retrieval, processing, and visualization in the final Project.
With the latest technologies and techniques at your fingertips, the possibilities are endless!
Location
Online from France
About Me
If you need help in math and physics to progress to CPGE level, I'm here for you!
My approach is to help you understand all the difficult math and physics concepts and provide you with a wide variety of questions to help you practice and prepare for your exams.
I am also ready to give you more work to do outside of school hours if you request it. My goal is to help you gain self-confidence so you can succeed in math.
My approach is to help you understand all the difficult math and physics concepts and provide you with a wide variety of questions to help you practice and prepare for your exams.
I am also ready to give you more work to do outside of school hours if you request it. My goal is to help you gain self-confidence so you can succeed in math.
Education
Currently an engineering student at the Ecole Centrale, I graduated from the baccalaureate in mathematics with honors with a mark of 19.02 obtained at the Lycée d'Excellence de Benguerir
Experience / Qualifications
I am a mathematics and physics teacher for middle and high school students at the CapMission school support center.
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Duration
45 minutes
60 minutes
90 minutes
120 minutes
The class is taught in
French
English
Italian
Arabic
Skills
Reviews
Availability of a typical week
(GMT -04:00)
New York
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
A finalist in the national physics olympiad and a graduate of CentraleSupélec with a specialization in artificial intelligence, I offer individualized instruction, assistance with preparing for quizzes, written and oral exams, and the national olympiad. My goal is to help students progress without overwhelming them, while fostering their independence. I assign homework after each lesson and provide regular progress reports.
Machine Learning is one of the most sought-after skills in the modern world of AI applications, with hiring in this field growing at a staggering 74% annually for the last four years. This program is designed to equip you with the skills and experience needed to pursue a successful career in Machine Learning, and explore the main types of Machine Learning: Unsupervised Learning, Supervised Learning, Deep Learning, and Reinforcement Learning. You'll also delve into special topics to complement your learning.
The program comprises of 6 courses that offer a solid theoretical understanding and ample opportunities to practice the main algorithms, uses, and best practices associated with Machine Learning. You'll code your own projects using the most relevant open-source frameworks and libraries, and apply what you learn in various courses to a final project.
Whether you're already familiar with Python programming, statistics, and linear algebra, or just have a general interest in data analysis and self-learning, this intermediate series is suitable for you. We start with the basics, offer a solid theoretical foundation, code-along labs and demos, and build up to more advanced topics, making it an exciting and rewarding learning experience.
The program comprises of 6 courses that offer a solid theoretical understanding and ample opportunities to practice the main algorithms, uses, and best practices associated with Machine Learning. You'll code your own projects using the most relevant open-source frameworks and libraries, and apply what you learn in various courses to a final project.
Whether you're already familiar with Python programming, statistics, and linear algebra, or just have a general interest in data analysis and self-learning, this intermediate series is suitable for you. We start with the basics, offer a solid theoretical foundation, code-along labs and demos, and build up to more advanced topics, making it an exciting and rewarding learning experience.
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